The purpose of this document is to guide you step by step in exploring the various basic features of Xcos for a user who has never used a hybrid dynamic systems modeler and simulator.
Customizing Xcos with new Blocks and PaletteScilab
In this tutorial, we show how to create and customize Xcos blocks and palettes. Moreover, we use the "Xcos toolbox skeleton" for a better result. The LHY model in Xcos scheme (already developed in other tutorials) is used as a starting point.
Modeling an ODE: 3 different approaches - Part 2Scilab
In this tutorial we show how to model a physical system described by ODE using Xcos environment. The same model solution is also described in Scilab and Xcos + Modelica in two other tutorials.
Customizing Xcos with new Blocks and PaletteScilab
In this tutorial, we show how to create and customize Xcos blocks and palettes. Moreover, we use the "Xcos toolbox skeleton" for a better result. The LHY model in Xcos scheme (already developed in other tutorials) is used as a starting point.
Modeling an ODE: 3 different approaches - Part 2Scilab
In this tutorial we show how to model a physical system described by ODE using Xcos environment. The same model solution is also described in Scilab and Xcos + Modelica in two other tutorials.
The purpose of this document is to guide you step by step in exploring the various basic features of Scilab for a user who has never used numerical computation software.
To understand the basic features and functions to create and debug a project in CCS v3.3
To get familar with CCS v3.3
More in-depth explanations of Code Composer Studio’s various features .
Ex: Breakpoints,watch window, single stepping, memory etc..,
Finally, you will able to work with CCS v3.3
Why electric vehicles need model-based design?
Because of the rising complexity in new vehicles, model-based design & systems engineering is needed to cascade the requirements and trace back any modification along the engineering lifecycle. Find out more in this presentation of a customer case about electric motor optimization.
The purpose of this document is to guide you step by step in exploring the various basic features of Scilab for a user who has never used numerical computation software.
To understand the basic features and functions to create and debug a project in CCS v3.3
To get familar with CCS v3.3
More in-depth explanations of Code Composer Studio’s various features .
Ex: Breakpoints,watch window, single stepping, memory etc..,
Finally, you will able to work with CCS v3.3
Why electric vehicles need model-based design?
Because of the rising complexity in new vehicles, model-based design & systems engineering is needed to cascade the requirements and trace back any modification along the engineering lifecycle. Find out more in this presentation of a customer case about electric motor optimization.
Keynote of the French Space Agency CNES on the Asteroidlander MASCOT boarding the Hayabusa2 mission in collaboration with the Japanese Space Agency JAXA and the German Aerospace Center DLR
Faster Time to Market using Scilab/XCOS/X2C for motor control algorithm devel...Scilab
Rapid Prototyping becomes very popular for faster algorithm development. With a graphical representation of the algorithm and the possibility to simulate complete designs, engineers can help to reduce the time to market. A tight integration with MPLAB-X IDE allows the combination with standard C-coding to easily get mass production code. This solution was used to optimise a sensorless field oriented controlled PMSM motor driven pump efficiency. A model for closed loop simulation was developed using X2C blocks [1][2] for the FOC algorithm based on the existing application note AN1292 [3]. Enhancements to the original version were implemented and verified with simulation. The X2C Communicator was used to generate code of the new algorithm. With the online debugging capabilities and the scope functionality the algorithm was further tuned and optimized to achieve the highest possible efficiency of the pump.
Scilab and Xcos for Very Low Earth Orbits satellites modellingScilab
Very Low Earth Orbits are orbits in altitudes lower than 450 km. The interaction between the atmosphere particles and the surfaces of the spacecraft is responsible for the aerodynamic torques and forces. Simulating several aspects of the performance of a satellite flying in VLEO is very important to make decisions about the design of the spacecraft and the mission.
X2C -a tool for model-based control development and automated code generation...Scilab
Peter Dirnberger, Stefan Fragner
Nowadays, the market demands compact, stable, easy maintain-and customizable embedded systems. To meet these requirements, afast, simple and reliable implementation of control algorithms is crucial. This paper demonstrateshow model-based design with the help of Scilab/Xcosand X2C, developed by LCM,simplifiesand speedsup the development and implementation of controlalgorithms. As an example, acontrol schemefor a bearingless motoris presented.
A Real-Time Interface for Xcos – an illustrative demonstration using a batter...Scilab
As part of an EU-founded research project, the Scilab based development tool LoRra (Low-Cost Rapid Control Prototyping Platform) was created. This allows the realization of the continuously model based and highly automated Rapid Control Prototyping (RCP) design process for embedded software within the Scilab / Xcos environment (cf. Figure 1). Based on the application battery management system (BMS), this paper presents a Real-Time interface for Scilab.
Aircraft Simulation Model and Flight Control Laws Design Using Scilab and XCosScilab
The increasing demand in the aerospace industry for safety and performance has been requiring even more resourceful flight control laws in all market segments, since the airliners until the newest flying cars. The de facto standard for flight control laws design makes extensive use of tools supporting numerical computing and dynamic systems visual modeling, such that Scilab and XCos can nicely suit this kind of development.
Multiobjective optimization and Genetic algorithms in ScilabScilab
In this Scilab tutorial we discuss about the importance of multiobjective optimization and we give an overview of all possible Pareto frontiers. Moreover we show how to use the NSGA-II algorithm available in Scilab.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Large Language Models and the End of ProgrammingMatt Welsh
Talk by Matt Welsh at Craft Conference 2024 on the impact that Large Language Models will have on the future of software development. In this talk, I discuss the ways in which LLMs will impact the software industry, from replacing human software developers with AI, to replacing conventional software with models that perform reasoning, computation, and problem-solving.
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
In the ever-evolving landscape of technology, enterprise software development is undergoing a significant transformation. Traditional coding methods are being challenged by innovative no-code solutions, which promise to streamline and democratize the software development process.
This shift is particularly impactful for enterprises, which require robust, scalable, and efficient software to manage their operations. In this article, we will explore the various facets of enterprise software development with no-code solutions, examining their benefits, challenges, and the future potential they hold.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Check out the webinar slides to learn more about how XfilesPro transforms Salesforce document management by leveraging its world-class applications. For more details, please connect with sales@xfilespro.com
If you want to watch the on-demand webinar, please click here: https://www.xfilespro.com/webinars/salesforce-document-management-2-0-smarter-faster-better/
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisGlobus
JASMIN is the UK’s high-performance data analysis platform for environmental science, operated by STFC on behalf of the UK Natural Environment Research Council (NERC). In addition to its role in hosting the CEDA Archive (NERC’s long-term repository for climate, atmospheric science & Earth observation data in the UK), JASMIN provides a collaborative platform to a community of around 2,000 scientists in the UK and beyond, providing nearly 400 environmental science projects with working space, compute resources and tools to facilitate their work. High-performance data transfer into and out of JASMIN has always been a key feature, with many scientists bringing model outputs from supercomputers elsewhere in the UK, to analyse against observational or other model data in the CEDA Archive. A growing number of JASMIN users are now realising the benefits of using the Globus service to provide reliable and efficient data movement and other tasks in this and other contexts. Further use cases involve long-distance (intercontinental) transfers to and from JASMIN, and collecting results from a mobile atmospheric radar system, pushing data to JASMIN via a lightweight Globus deployment. We provide details of how Globus fits into our current infrastructure, our experience of the recent migration to GCSv5.4, and of our interest in developing use of the wider ecosystem of Globus services for the benefit of our user community.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
✅Create Ultra-HD graphics with a single keyword or phrase that commands 10x eyeballs!
✅Fully automated AI articles bulk generation!
✅Auto-post or schedule stunning AI content across all your accounts at once—WordPress, Facebook, LinkedIn, Blogger, and more.
✅With one keyword or URL, generate complete websites, landing pages, and more…
✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
✅Say goodbye to wasting time logging into multiple Chat GPT & AI Apps once & for all!
✅Save over $5000 per year and kick out dependency on third parties completely!
✅Brand New App: Not available anywhere else!
✅ Beginner-friendly!
✅ZERO upfront cost or any extra expenses
✅Risk-Free: 30-Day Money-Back Guarantee!
✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
#AIFusionBuddyReview,
#AIFusionBuddyFeatures,
#AIFusionBuddyPricing,
#AIFusionBuddyProsandCons,
#AIFusionBuddyTutorial,
#AIFusionBuddyUserExperience
#AIFusionBuddyforBeginners,
#AIFusionBuddyBenefits,
#AIFusionBuddyComparison,
#AIFusionBuddyInstallation,
#AIFusionBuddyRefundPolicy,
#AIFusionBuddyDemo,
#AIFusionBuddyMaintenanceFees,
#AIFusionBuddyNewbieFriendly,
#WhatIsAIFusionBuddy?,
#HowDoesAIFusionBuddyWorks
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
E-commerce Application Development Company.pdfHornet Dynamics
Your business can reach new heights with our assistance as we design solutions that are specifically appropriate for your goals and vision. Our eCommerce application solutions can digitally coordinate all retail operations processes to meet the demands of the marketplace while maintaining business continuity.
Do you want Software for your Business? Visit Deuglo
Deuglo has top Software Developers in India. They are experts in software development and help design and create custom Software solutions.
Deuglo follows seven steps methods for delivering their services to their customers. They called it the Software development life cycle process (SDLC).
Requirement — Collecting the Requirements is the first Phase in the SSLC process.
Feasibility Study — after completing the requirement process they move to the design phase.
Design — in this phase, they start designing the software.
Coding — when designing is completed, the developers start coding for the software.
Testing — in this phase when the coding of the software is done the testing team will start testing.
Installation — after completion of testing, the application opens to the live server and launches!
Maintenance — after completing the software development, customers start using the software.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
3. Xcos
for
very
beginners
-‐
3/15
Table
of
content
Introduction
About
this
document
4
Install
Scilab
4
Mailing
lists
4
Complementary
resources
4
Become
familiar
with
Xcos
General
environment
5
Example
of
a
simple
diagram
design
6
Superblocks
9
Annexes
Menu
bar
11
Available
palettes
13
Install
a
C
compiler
14
4. Xcos
for
very
beginners
-‐
4/15
Introduction
About
this
document
The
purpose
of
this
document
is
to
guide
you
step
by
step
in
exploring
the
various
basic
features
of
Xcos
tool
included
in
Scilab
for
a
user
who
has
never
used
a
hybrid
dynamic
systems
modeler
and
simulator.
This
presentation
is
intentionally
limited
to
the
essential
to
allow
easier
handling
of
Xcos.
The
examples,
diagrams
and
illustrations
are
made
with
Scilab
5.4.1.
You
can
reproduce
all
those
examples
from
this
version.
Install
Scilab
Scilab
is
open
source
software
for
numerical
computation
that
anybody
can
freely
download.
Available
under
Windows,
Linux
and
Mac
OS
X,
Scilab
can
be
downloaded
at
the
following
address:
http://www.scilab.org/
You
can
be
notified
of
new
releases
of
Scilab
software
by
subscribing
to
our
notification
channel
at
the
following
address:
http://lists.scilab.org/mailman/listinfo/release
Mailing
lists
To
ease
the
exchange
between
Scilab
users,
dedicated
mailing
lists
exist
(list
for
the
education
world,
international
list
in
English).
The
principle
is
simple:
registrants
can
communicate
with
each
other
by
e-‐mail
(questions,
answers,
sharing
of
documents,
feedbacks...).
To
browse
the
available
lists
and
to
subscribe,
go
to
the
following
address:
http://www.scilab.org/communities/user_zone/mailing_list
Complementary
resources
Scilab
website
has
a
dedicated
section
on
Scilab
use
(http://www.scilab.org/en/resources/documentation)
with
useful
links
and
documents
that
can
be
freely
downloaded
and
printed.
You
can
also
find
in
the
same
section
a
similar
document
entitled
“Scilab
for
very
beginners”
which
is
available
for
download.
5. Become
familiar
with
Xcos
Numerical
simulation
is
nowadays
essential
in
system
design
process.
Complex
phenomena
simulation
(physical,
mechanical,
electronics,
etc.)
allows
the
study
of
their
behavior
and
results
without
having
to
conduct
costly
real
experiments.
Widely
used
in
the
world
of
industry,
the
future
generation
of
engineers
and
scientists
are
trained
since
secondary
school
to
the
concepts
of
modeling
and
simulation.
Xcos
is
Scilab
tool
dedicated
to
the
modeling
and
simulation
of
hybrid
dynamic
systems
including
both
continuous
and
discrete
models.
It
also
allows
simulating
systems
governed
by
explicit
equations
(causal
simulation)
and
implicit
equations
(acausal
simulation).
Xcos
includes
a
graphical
editor
which
allows
to
easily
represent
models
as
block
diagrams
by
connecting
the
blocks
to
each
other.
Each
block
represents
a
predefined
basic
function
or
a
user-‐defined
one.
General
environment
After
launching
Scilab,
the
environment
by
default
consists
of
the
console,
files
and
variables
browsers
and
a
command
history.
Xcos
for
very
beginners
-‐
5/15
In
the
console
after
the
prompt
“
-->
”,
just
type
a
command
and
press
the
Enter
key
to
obtain
the
corresponding
result.
Xcos
can
be
launched:
• From
the
toolbar,
via
the
icon,
or
• From
the
menu
bar,
in
Applications / Xcos,
or
• From
the
console,
in
typing:
-->xcos
6. Xcos
for
very
beginners
-‐
6/15
Xcos
opens
by
default
with
two
windows:
• A
palette
browser
which
provides
a
set
of
predefined
blocks,
• An
editing
window
which
is
the
working
space
to
design
diagrams.
To
design
a
diagram,
just
select
blocks
in
the
palette
browser
and
position
them
in
the
editing
window
(click,
drag
and
drop).
Blocks
are
then
connected
to
each
other
using
their
different
ports
(input,
output,
event)
in
order
to
simulate
the
created
model.
Example
of
a
simple
diagram
design
We
are
going
to
explain
how
to
design
from
scratch
a
model
of
continuous-‐time
system
represented
by
a
first-‐order
transfer
function.
Launch
Xcos.
As
seen
before,
Xcos
opens
by
default
with
the
palette
browser
and
an
editing
window.
In
the
palette
browser,
we
are
going
to
use
the
following
blocks:
Designation
Representation
Sub-‐palette
Step
Sources / STEP_FUNCTION
Continuous
transfer
function
Continuous
time
systems / CLR
Clock
Sources / CLOCK_c
Visualization
Sinks / CSCOPE
7. Arrange
the
blocks
in
the
editing
window.
To
connect
the
input
and
output
ports
to
each
other,
click
on
the
output
(black
arrow)
of
the
STEP-‐FUNCTION
block
and
in
maintaining
the
mouse
button
pressed,
connect
it
to
the
input
port
of
the
CLR
block
(a
green
highlighted
square
appears
to
indicate
that
the
link
is
correct)
as
described
in
the
images
below:
Xcos
for
very
beginners
-‐
7/15
Release
to
complete
the
link.
Complete
the
connections
between
the
different
blocks
to
achieve
this
result:
It
is
possible
to
improve
the
general
look
of
your
diagram
in
using
the
blocks
alignment
options
(Format
Menu/Align
blocks)
and
the
links
style
(Format
Menu/Link
style).
At
any
time,
blocks
can
be
moved
or
repositioned
by
selecting
them
and
by
maintaining
the
mouse
button
pressed
while
moving
them.
Release
the
blocks
in
the
desired
position.
Simulation
is
launched
by
clicking
on
the
icon
(or
from
the
Simulation
Menu/Start)
and
can
be
stopped
by
clicking
on
the
icon
(or
from
the
Simulation
Menu/Stop).
A
new
window
is
displayed
(scope)
with
the
simulation
running.
At
the
bottom
of
the
diagram
editing
window,
a
statement
indicates
that
the
simulation
is
in
progress:
8. You
can
see
that
the
simulation
time
is
quite
long
(you
may
have
needed
to
stop
the
simulation
while
running)
and
that
the
response
is
flat.
Thus,
we
choose
to
modify
the
parameters
of
CLR
Xcos
for
very
beginners
-‐
8/15
block
and
of
the
simulation.
A
"Context"
containing
Scilab
script
allows
easy
use
of
functions
and
variables
in
Xcos
blocks.
We
are
going
to
use
this
context
to
set
the
blocks
parameters
for
diagram
simulation.
Click
on
Simulation/Set
Context
in
the
menu
bar
and
define
the
following
variables:
• K
=
1
• Tau
=
1
You
can
now
use
these
variables
to
set
up
the
diagram
blocks.
Double-‐click
on
CLR
block.
A
dialog
box
opens
with
the
default
settings
of
the
block.
Modify
these
settings
as
follows:
• Numerator:
K
• Denominator:
1+Tau*s
The
new
transfer
function
is
displayed
on
the
block:
If
necessary,
enlarge
the
block
so
that
the
display
fits
in
it.
9. Xcos
for
very
beginners
-‐
9/15
We
are
now
going
to
set
up
the
simulation
and
the
blocks
to
visualize
the
time
response
of
the
system
to
a
stepe.
For
this,
we
limit
the
simulation
time
to
5
seconds
(Simulation
Menu/Setup)
in
modifying
the
final
integration
time.
Double-‐click
on
CSCOPE
block
to
set
up
the
display
of
values
between
0
and
1.2,
then
the
scope
refresh
period
to
5
seconds.
To
do
it,
change
the
following
settings:
• Ymin:
0
• Ymax:
1.2
• Refresh
period:
5
Restart
the
simulation
and
view
the
result:
Superblocks
To
ease
the
understanding
of
certain
diagrams,
it
is
often
useful
to
use
superblocks
or
composite
blocks.
A
superblock
contains
a
part
of
a
diagram
and
blocks
representing
its
inputs
and
outputs.
The
superblock
can
be
handled
as
a
single
block
within
the
parent
diagram.
After
designing
a
diagram
and
selecting
the
part
of
the
diagram
(or
sub-‐diagram)
that
we
want
to
gather
into
a
block,
the
creation
of
the
superblock
is
done
from
the
menu
Edit/Region
to
superblock.
The
selection
is
now
a
block
which
content
can
be
displayed
by
double-‐click.
A
new
editing
window
opens
with
the
initial
selected
blocks.
10. It
is
also
possible
to
hide
the
created
superblock
to
disable
access
to
the
subdiagram.
To
do
so,
right-‐click
on
the
superblock,
then
on
Superblock
Mask/Create.
We
can
also
make
some
sub-‐diagram
configuration
settings
available
in
a
single
setup
interface
by
a
right-‐click
on
the
superblock,
then
Superblock
Mask/Customize.
Then
just
add
the
parameters
you
want
to
make
available.
This
presentation
was
intentionally
short
and
many
other
possibilities
for
simulating
systems
exist
with
many
available
blocks.
To
continue
to
handle
easily
Xcos,
we
invite
you
to
visit
the
many
diagrams
examples
available
in
Xcos
demonstrations
by
clicking
on
the
menu
?/Xcos
Demos.
Xcos
for
very
beginners
-‐
10/15
11. Xcos
for
very
beginners
-‐
11/15
Annexes
Menu
bar
The
useful
menu
bar
of
Xcos
is
the
one
of
the
editing
window.
File
Menu
• New
diagram
(Ctrl+N
under
Windows
and
Linux / Cmd+N
under
Mac
OS
X)
Open
a
new
Xcos
editing
window.
• Open
(Ctrl+O
under
Windows
and
Linux
/ Cmd+O
under
Mac
OS
X)
Load
a
Xcos
file
including
a
diagram
or
a
palette
in
.zcos
or
.xcos
format.
• Open
file
in
Scilab
current
directory
Load
a
Xcos
file
including
a
diagram
or
a
palette
from
Scilab
working
directory
in
.zcos
or
.xcos
format.
• Recent
files
Provide
the
recently
opened
files.
• Close
(Ctrl+W
under
Windows
and
Linux
/ Cmd+W
under
Mac
OS
X)
Close
the
current
diagram
if
several
diagrams
are
opened.
Quit
Xcos
if
only
one
diagram
is
opened.
The
auxiliary
windows
such
as
the
palette
browser
are
also
closed
in
closing
the
last
diagram.
• Save
(Ctrl+S
under
Windows
and
Linux
/ Cmd+S
under
Mac
OS
X)
Save
the
changes
to
the
diagram.
If
the
diagram
has
not
been
previously
saved
in
a
file,
it
will
be
proposed
to
be
saved
(see
Save
As).
• Save
as
(Ctrl+Shift+S
under
Windows
and
Linux
/ Cmd+
Shift
+S
under
Mac
OS
X)
Save
the
diagram
or
the
palette
with
a
new
name.
The
diagram
takes
the
name
of
the
file
(without
the
extension).
• Export
(Ctrl+E
under
Windows
and
Linux
/ Cmd+E
under
Mac
OS
X)
Export
an
image
of
the
current
Xcos
diagram
in
standard
formats
(PNG,
SVG,
etc.).
• Export
all
diagrams
Export
images
of
the
diagram
and
the
content
of
its
superblocks.
• Print
(Ctrl+P
under
Windows
and
Linux
/ Cmd+P
under
Mac
OS
X)
Print
the
current
diagram.
• Quit
Xcos
(Ctrl+Q
under
Windows
and
Linux
/ Cmd+Q
under
Mac
OS
X)
Quit
Xcos.
Edit
Menu
• Undo
(Ctrl+Z
under
Windows
and
Linux
/ Cmd+Z
under
Mac
OS
X)
Cancel
the
last
operation.
• Redo
(Ctrl+Y
under
Windows
and
Linux
/ Cmd+Y
under
Mac
OS
X)
Restore
the
last
operation
canceled.
• Cut
(Ctrl+X
under
Windows
and
Linux
/ Cmd+X
under
Mac
OS
X)
Remove
the
selected
objects
of
a
diagram
and
keep
a
copy
in
the
clipboard.
• Copy
(Ctrl+C
under
Windows
and
Linux
/ Cmd+C
under
Mac
OS
X)
Put
a
copy
of
the
selected
objects
in
the
clipboard.
• Paste
(Ctrl+V
under
Windows
and
Linux
/ Cmd+V
under
Mac
OS
X)
Add
the
content
of
the
clipboard
in
the
current
diagram.
12. Xcos
for
very
beginners
-‐
12/15
• Delete
(Delete)
Erase
the
selected
blocks
or
links.
When
a
block
is
erased,
all
its
connected
links
are
also
erased.
• Select
all
(Ctrl+A
under
Windows
and
Linux
/ Cmd+A
under
Mac
OS
X)
Select
all
the
elements
of
the
current
diagram.
• Inverse
selection
Reverse
the
current
selection.
• Block
Parameters
(Ctrl+B
under
Windows
and
Linux
/ Cmd+B
under
Mac
OS
X)
Set
the
selected
block
(see
the
block
help
to
obtain
more
information
on
its
setup).
• Region
to
superblock
Convert
a
selection
of
blocks
into
a
superblock.
View
Menu
• Zoom
In
(Ctrl+Plus
numeric
keypad
under
Windows
and
Linux
/ Cmd+Plus
numeric
keypad
under
Mac
OS
X)
Enlarge
the
view
of
10 %.
• Zoom
Out
(Ctrl+Minus
numeric
keypad
under
Windows
and
Linux
/ Cmd+Minus
numeric
keypad
under
Mac
OS
X)
Reduce
the
view
of
10 %.
• Fit
diagram
or
blocks
to
view
Adjust
the
view
to
the
window
size.
• Normal
100 %
Scale
the
view
to
its
default
size.
• Palette
browser
Show
/
Hide
the
palette
browser.
• Diagram
browser
Display
a
window
which
lists
the
global
properties
of
the
diagram
and
of
all
the
objects
it
contains
(blocks
and
links).
• Viewport
Show
/
Hide
a
complete
overview
of
the
current
diagram.
With
viewport,
the
user
can
move
the
working
area
on
a
particular
part
of
the
diagram.
Simulation
Menu
• Setup
Modify
the
simulation
parameters.
• Execution
trace
and
Debug
Set
the
simulation
in
a
debug
mode.
• Set
Context
Enable
to
enter
Scilab
instructions
to
define
variables
or
functions
that
can
be
used
in
setting
up
diagram
blocks.
• Compile
Compile
the
diagram.
• Modelica
initialize
Enable
the
initialization
of
the
variables
in
the
acausal
diagram
subsystem.
• Start
Launch
the
simulation.
• Stop
Stop
the
simulation.
13. Xcos
for
very
beginners
-‐
13/15
Format
Menu
• Rotate
(Ctrl+R
under
Windows
and
Linux / Cmd+R
under
Mac
OS
X)
Rotate
the
selected
block(s)
90°
counterclockwise.
• Flip
(Ctrl+F
under
Windows
and
Linux / Cmd+F
under
Mac
OS
X)
Reverse
the
positions
of
input
and
output
events
positioned
above
and
below
of
a
selected
block.
• Mirror
(Ctrl+M
under
Windows
and
Linux / Cmd+M
under
Mac
OS
X)
Reverse
the
positions
of
regular
input
and
output
positioned
on
the
left
and
on
the
right
of
a
selected
block.
• Show
/
Hide
shadow
Show
/
Hide
the
shadow
of
the
selected
block.
• Align
blocks
By
selecting
several
blocks,
it
is
possible
to
align
them
on
the
horizontal
axis
(left,
right
and
center)
or
on
the
vertical
axis
(top,
bottom
and
middle).
• Border
color
Change
the
border
color
of
the
selected
blocks.
• Fill
color
Change
the
fill
color
of
the
selected
blocks.
• Link
style
Modify
a
link
style
• Diagram
background
Change
the
background
color
of
the
diagram.
• Grid
Enable
/
Disable
the
grid.
Thanks
to
the
grid,
blocks
and
links
positioning
is
easier.
Tools
Menu
• Code
generation
Allow
the
generation
of
the
simulation
code
of
the
selected
superblock.
?
Menu
• Xcos
Help
Open
the
help
on
Xcos
functioning,
palettes,
blocks
and
examples.
• Block
Help
Open
the
help
on
a
selected
block
• Xcos
Demos
Open
examples
of
diagrams
and
simulate
them.
The
user
can,
if
he
wants
to,
modify
those
diagrams
and
save
them
for
a
future
use.
(Be
careful,
the
execution
of
some
demonstration
diagrams
needs
to
have
a
C
compiler
installed
on
your
machine.
Please
refer
to
the
page
15).
Available
palettes
• Commonly
Used
Blocks
More
used
blocks.
• Continuous
time
systems
Continuous
blocks
(integration,
derivative,
PID).
• Discontinuities
14. Blocks
whose
outputs
are
discontinuous
functions
of
their
inputs
(hysteresis).
Xcos
for
very
beginners
-‐
14/15
• Discrete
time
systems
Blocks
for
modeling
in
discrete
time
(derivative,
sampled,
blocked).
• Lookup
Tables
Blocks
computing
output
approximations
from
the
inputs.
• Event
handling
Blocs
to
manage
events
in
the
diagram
(clock,
multiplication,
frequency
division).
• Mathematical
Operations
Blocks
for
modeling
general
mathematical
functions
(cosine,
sine,
division,
multiplication).
• Matrix
Blocks
for
simple
and
complex
matrix
operations.
• Electrical
Blocks
representing
basic
electrical
components
(voltage
source,
resistor,
diode,
capacitor).
• Integer
Blocks
allowing
the
manipulation
of
integers
(logical
operators,
logic
gates).
• Port
&
Subsystem
Blocks
to
create
subsystems.
• Zero
crossing
detection
Blocks
used
to
detect
zero
crossings
during
simulation.
These
blocks
use
the
solvers
capabilities
(ODE
or
DAE)
to
perform
this
operation.
• Signal
Routing
Blocks
for
signal
routing,
multiplexing,
sample/blocked.
• Signal
Processing
Blocks
for
signal
processing
applications.
• Implicit
Blocks
for
implicit
systems
modeling.
• Annotations
Blocks
used
for
annotations.
• Sinks
Output
blocks
used
for
graphical
display
(scope)
and
for
data
export
(file
or
Scilab).
• Sources
Blocks
of
data
sources
(pulse,
ramp,
sine
wave)
and
for
reading
data
from
Scilab
files
or
variables.
• Thermo-‐Hydraulics
Blocks
representing
basic
thermo-‐hydraulic
components
(pressure
source,
pipes,
valves).
• Demonstrations
blocks
Blocks
used
in
demonstration
diagrams.
• User-‐Defined
Functions
User-‐blocks
to
model
a
behavior
(C,
Scilab
or
Modelica
simulation
function).
Install
a
C
compiler
For
some
systems
simulation
(acausal
systems
containing
for
example
hydraulic
or
electrical
blocks),
it
is
necessary
to
have
a
C
compiler
installed
in
the
machine.
Under
Windows
Install
MinGW
module
from
Scilab,
Applications
Menu
/
Module
manager
–
ATOMS
/
Windows
Tools
category.
MinGW
module
will
make
the
link
between
Scilab
and
GCC
compiler
(which
you
15. also
have
to
install
separately).
Follow
the
procedure
detailed
in
the
module
install
window
which
will
guide
you
step
by
step
in
the
install
of
MinGW
and
GCC
compiler.
Under
Linux
GCC
compiler
is
available
by
default
under
Linux
OS.
Just
check
that
the
compiler
is
installed
and
up
to
date
(via
Synaptic,
Yum
or
any
other
package
management
system).
Under
Mac
Download
Xcode
via
the
App
Store
(Mac
OS
≥
10.7)
or
via
the
CD
supplied
with
the
computer
(Mac
OS
10.5
and
10.6).
For
earlier
versions,
see
the
Apple
website.
Confirm
the
possibility
to
use
the
compiler
out
of
Xcode
environment.
To
do
so,
after
launching
Xcode,
go
to
"Settings",
then
"Downloads"
and
in
the
"Components"
tab,
select
the
"Check
for
and
install
updates
automatically"
box
and
install
the
"Command
Line
Tools"
extension.
Naturally,
if
you
already
have
an
installed
C
compiler
in
your
machine,
you
do
not
have
to
install
another
one.
To
check
that
Scilab
has
detected
a
compiler,
use
the
command
that
returns
%T
if
a
compiler
is
installed:
Xcos
for
very
beginners
-‐
15/15
--> haveacompiler()