This presnetation gives complete idea about block diagram representation and reduction techniques to find transfer function. Also gives complete idea about Signal flow graph method to find transfer function.
Signal Flow Graph, SFG and Mason Gain Formula, Example solved with Masson Gai...Waqas Afzal
Basic Properties of SFG
Definitions of SFG Terms
SFG Algebra
Relation between SFG and block diagram
Mason Gain Formula
Example solved with Masson Gain Formula
This presentation explains about the introduction of Polar Plot, advantages and disadvantages of polar plot and also steps to draw polar plot. and also explains about how to draw polar plot with an examples. It also explains how to draw polar plot with numerous examples and stability analysis by using polar plot.
This presentation explains about the introduction of Nyquist Stability criterion. It clearly shows advantages and disadvantages of Nyquist Stability criterion and also explains importance of Nyquist Stability criterion and steps required to sketch the Nyquist plot. It explains about the steps required to sketch Nyquist plot clearly. It also explains about sketching Nyquist plot and determines the stability by using Nyquist Stability criterion with an example.
This presnetation gives complete idea about block diagram representation and reduction techniques to find transfer function. Also gives complete idea about Signal flow graph method to find transfer function.
Signal Flow Graph, SFG and Mason Gain Formula, Example solved with Masson Gai...Waqas Afzal
Basic Properties of SFG
Definitions of SFG Terms
SFG Algebra
Relation between SFG and block diagram
Mason Gain Formula
Example solved with Masson Gain Formula
This presentation explains about the introduction of Polar Plot, advantages and disadvantages of polar plot and also steps to draw polar plot. and also explains about how to draw polar plot with an examples. It also explains how to draw polar plot with numerous examples and stability analysis by using polar plot.
This presentation explains about the introduction of Nyquist Stability criterion. It clearly shows advantages and disadvantages of Nyquist Stability criterion and also explains importance of Nyquist Stability criterion and steps required to sketch the Nyquist plot. It explains about the steps required to sketch Nyquist plot clearly. It also explains about sketching Nyquist plot and determines the stability by using Nyquist Stability criterion with an example.
Block diagram reduction techniques in control systems.pptNANDHAKUMARA10
Rule 1 − Check for the blocks connected in series and simplify.
Rule 2 − Check for the blocks connected in parallel and simplify.
Rule 3 − Check for the blocks connected in feedback loop and simplify.
Rule 4 − If there is difficulty with take-off point while simplifying, shift it towards right.
Rule 5 − If there is difficulty with summing point while simplifying, shift it towards left.
Rule 6 − Repeat the above steps till you get the simplified form, i.e., single block.
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This is all about block diagram reduction in the course Biomedical Control Systems. Its about reducing systems into transfer functions, and figuring out how to convert analog resistors, capacitors and inductors into the frequency domain by Laplace transformation.
this presentation will help u with understanding basic elements of the bloc diagram and how to reduce multi loop block diagram with some suitable numerical example.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
2. Objectives
To
reduce a block diagram of multiple
subsystems to a signal block representing
the transfer function from input to output
3. Introduction
Before this we only worked with individual
subsystems represented by a block with
its input and output.
Complex systems are represented by the
interconnection of many subsystems.
In order to analyze our system, we want
to represent multiple subsystems as a
single transfer function.
4. Block diagram
A subsystems is represented as a block
with an input and output and a transfer
function.
Many systems are composed of multiple
subsystems. So, we need to add a few
more schematic elements to the block
diagram.
Summing junction
Pickoff points
6. Block diagram
Summing junction
Output signal, C(s), is the algebraic sum of the
input signals, R1(s), R2(s) and R3(s).
Pickoff point
Distributes the input signals, R(s),
undiminished, to several output points.
7. Block diagram
There are three topologies that can be
used to reduce a complicated system to a
single block.
Cascade form
Parallel form
Feedback form
8. Block diagram
Cascade form
a. cascaded subsystem
b. equivalent transfer function
Equivalent transfer function is the output
divided by the input.
10. Block diagram
Feedback form
It is the same as the closed loop system that
we learn in Chapter 1.
a. closed loop system
b. closed loop, G(s)H(s) is open loop transfer
function
11. Block diagram
Moving blocks to create familiar forms
Cascade, parallel and feedback topologies are
not always apparent in a block diagram.
You will learn block moves that can be made in
order to establish familiar forms when they
almost exist. I.e. move blocks left and right
past summing junctions and pickoff points.
12. Block diagram
Block diagram
algebra for summing
junctions—
equivalent forms for
moving a block
a. to the left past a
summing junction;
b. to the right past a
summing junction
13. Block diagram
Block diagram
algebra for pickoff
points—
equivalent forms
for moving a
block
a. to the left past
a pickoff point;
b. to the right
past a pickoff
point
14. Block diagram
Block diagram reduction via familiar forms
Example:
Reduce the block diagram to a single
transfer function.
15. Block diagram
Solution:
Steps in solving
Example 5.1:
a. collapse summing
junctions;
b. form equivalent
cascaded system
in the forward path
and equivalent
parallel system in the
feedback path;
c. form equivalent
feedback system and
multiply by cascaded
G1(s)
16. Block diagram
Block diagram reduction by moving blocks
Example:
Reduce the system shown to a single
transfer function.
17. Block diagram
Solution:
First, move G2(s) to the left past the pickoff point
to create parallel subsystems, and reduce the
feedback system consisting of G3(s) and H3(s).
18. Block diagram
Second, reduce the parallel pair consisting of
1/g2(s) and unity and push G1(s) to the right past
the summing junction, creating parallel subsystems
in the feedback.
19. Block diagram
Third, collapse the summing junctions, add the two
feedback elements together, and combined the last
two cascaded blocks.
20. Block diagram
Fourth, use the feedback formula to obtain
figure below
Finally multiply the two cascaded blocks and
obtain the final result.
22. Solution
Combine the parallel blocks in the forward path. Then, push 1/s to
the left past the pickoff point.
Combine the parallel feedback paths and get 2s. Apply the
feedback formula and simplify
32. Mason’s rule
What?
A technique for reducing signal-flow graphs to
single transfer function that relate the output
of system to its input.
We must understand some components
before using Mason’s rule
Loop gain
Forward-path gain
Nontouching loops
Nontouching-loop gain
33. Mason’s rule
Loop gain
Product of branch gains found by going through a path
that starts at a node and ends at the same node,
following the direction of the signal flow, without passing
through any other node more than once.
G2(s)H1(s)
G4(s)H2(s)
G4(s)G5(s)H3(s)
G4(s)G6(s)H3(s)
34. Mason’s rule
Forward-path gain
Product of gains found by going through a path from the
input node of the signal-flow graph in the direction of
signal flow.
G1(s)G2(s)G3(s)G4(s)G5(s)G7(s)
G1(s)G2(s)G3(s)G4(s)G6(s)G7(s)
35. Mason’s rule
Nontouching loops
Loops that do not have any nodes in common.
Loop G2(s)H1(s) does not touch loops G4(s)H2(s),
G4(s)G5(s)H3(s) and G4(s)G6(s)H3(s)
36. Mason’s rule
Nontouching-loop gain
Product of gains form nontouching loops taken
two, three, four, or more at a time.
[G2(s)H1(s)][G4(s)H2(s)]
[G2(s)H1(s)][G4(s)G5(s)H3(s)]
[G2(s)H1(s)][G4(s)G6(s)H3(s)]
37. Mason’s rule
The transfer function, C(s)/R(s), of a system
represented by a signal-flow graph is
C (s)
G (s) =
=
R( s)
∑T ∆
k
k
k
∆
k = number of forward path
Tk = the kth forward - path gain
38. Mason’s rule
∆ k = formed by eliminating from ∆
those loop gains that touch the kth forward path.
∆ = 1 - Σ loop gains
+ Σ nontouching loop gains taken two at a time
− Σ nontouching loop gains taken three at a time
+ Σ nontouching loop gains taken four at a time