Problem statement:
Given an array of numbers
A=[x0,x1,...x(N-1)]
Calculate the sum S(A) using recursion.
Here I am deriving the steps and providing Algorithm
Control of Uncertain Nonlinear Systems Using Ellipsoidal Reachability CalculusLeo Asselborn
This paper proposes an approach to algorithmically synthesize control strategies for discrete-time nonlinear uncertain systems based on reachable set computations using the ellipsoidal calculus. For given ellipsoidal initial sets and bounded ellipsoidal disturbances, the proposed algorithm iterates over conservatively approximating and LMI-constrained optimization problems to compute stabilizing controllers. The method uses
first-order Taylor approximation of the nonlinear dynamics and a conservative approximation of the Lagrange remainder.
Control of Uncertain Nonlinear Systems Using Ellipsoidal Reachability CalculusLeo Asselborn
This paper proposes an approach to algorithmically synthesize control strategies for discrete-time nonlinear uncertain systems based on reachable set computations using the ellipsoidal calculus. For given ellipsoidal initial sets and bounded ellipsoidal disturbances, the proposed algorithm iterates over conservatively approximating and LMI-constrained optimization problems to compute stabilizing controllers. The method uses
first-order Taylor approximation of the nonlinear dynamics and a conservative approximation of the Lagrange remainder.
Links for the YouTube Video: https://www.youtube.com/watch?v=TaMO9UIF-Oc&feature=youtu.be
Links for the journal papers:
http://bit.ly/constr_opt_PI_reg_uns_ISA
http://bit.ly/constr_opt_PI_servo_uns_KJCHE
http://bit.ly/constr_opt_PI_reg_stable_Tw
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In this video, I am going to show you explicit solutions of the Optimal Control of PI controller, subject to constraints on the process variable y, the manipulated (control) variable u, and the rate of change of the manipulated (control) variable, u'.
This video shows the results of the following paper, that proposes a novel optimization-based approach for the design of an industrial proportional-integral(PI)controller for the optimal regulatory control of unstable processes subjected to three
common operational constraints related to the process variable, manipulated variable and its rate of change.
The proposed analytical design
method explicitly takes into account the operational constraints in the controller design stage and also
provides useful insights into the optimal controller design.
Practical procedures for designing optimal PI parameters and a feasible constraint set exclusive of complex optimization steps are also proposed.
The proposed controller was compared with several other PI controllers to illustrate its performance.
The robustness of the proposed controller against plant-model mismatch has also been investigated.
Sumo, Simulation of Urban Mobility, (DLR, Open Source) tutorial Rodrigue Tchamna
Youtubes link: https://www.youtube.com/watch?v=9MyIABer_NY&feature=youtu.be
This Video will give you a quick introduction about SUMO, one of the most advanced free (open source) transportation simulation software, for traffic engineering.
International Mother Language Day
Bonne fête de la jJournée iInternational des langues maternelles
21 février 2000 - 21 février 2016
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Site web:
www.Resulam.com
Facebook:
https://www.facebook.com/resulam/
Youtube: https://www.youtube.com/channel/UCoTSeSbcu6X3REreEZd_urA
Understanding Inductive Bias in Machine LearningSUTEJAS
This presentation explores the concept of inductive bias in machine learning. It explains how algorithms come with built-in assumptions and preferences that guide the learning process. You'll learn about the different types of inductive bias and how they can impact the performance and generalizability of machine learning models.
The presentation also covers the positive and negative aspects of inductive bias, along with strategies for mitigating potential drawbacks. We'll explore examples of how bias manifests in algorithms like neural networks and decision trees.
By understanding inductive bias, you can gain valuable insights into how machine learning models work and make informed decisions when building and deploying them.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
CW RADAR, FMCW RADAR, FMCW ALTIMETER, AND THEIR PARAMETERSveerababupersonal22
It consists of cw radar and fmcw radar ,range measurement,if amplifier and fmcw altimeterThe CW radar operates using continuous wave transmission, while the FMCW radar employs frequency-modulated continuous wave technology. Range measurement is a crucial aspect of radar systems, providing information about the distance to a target. The IF amplifier plays a key role in signal processing, amplifying intermediate frequency signals for further analysis. The FMCW altimeter utilizes frequency-modulated continuous wave technology to accurately measure altitude above a reference point.
We have compiled the most important slides from each speaker's presentation. This year’s compilation, available for free, captures the key insights and contributions shared during the DfMAy 2024 conference.
The Internet of Things (IoT) is a revolutionary concept that connects everyday objects and devices to the internet, enabling them to communicate, collect, and exchange data. Imagine a world where your refrigerator notifies you when you’re running low on groceries, or streetlights adjust their brightness based on traffic patterns – that’s the power of IoT. In essence, IoT transforms ordinary objects into smart, interconnected devices, creating a network of endless possibilities.
Here is a blog on the role of electrical and electronics engineers in IOT. Let's dig in!!!!
For more such content visit: https://nttftrg.com/
Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
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Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Industrial Training at Shahjalal Fertilizer Company Limited (SFCL)MdTanvirMahtab2
This presentation is about the working procedure of Shahjalal Fertilizer Company Limited (SFCL). A Govt. owned Company of Bangladesh Chemical Industries Corporation under Ministry of Industries.
2. Problem statement
•Given an array of numbers
•Calculate the sum
0 1 1
, ,... N
A x x x
0 1 1
... N
S A x x x
0 1
0 ; 1 ; , 0, 1
k
A x A x A k x k N
4. A = [2,8,12,0]
Sum_array = 0
for i in range(len(A)):
Sum_array = Sum_array + A[i]
print(Sum_array)
Iterative
5. Recursive
All we need to find in a recursive formula are:
1. Generalization of the steps: The recurrence
definition
2. Base case: The simplest case of te probe
6. 1 0 1
|step
S A x x
2 0 1 2 1 2
| |
step step
S A x x x S A x
0 1 1
| ... |
stepk k k k
step k
S A x x x S A x
1
k k k
S S x
0 1 1
... N
S A x x x
|stepk k
Let S A S
7.
1
| |
stepk k
step k
S A S A x
1
k k k
S S x
So our recursive function depends on A and k
, , 1 k
f A k f A k x
k
x A k
, , 1
f A k f A k A k
8.
, , 1
f A k f A k A k
Generalization
Base Case
What happen in the above formula when k=0
0 1
| ...
stepk k k
S A x x x
0 0
|
S A x
Step k: sum from 0 to k
Step 0: sum from 0 to 0
9.
, , 1
f A k f A k A k
Generalization
Base Case
0 0 0
| ,0
S A x f A x
def f(A,k):
if k ==0:
return A[0]
else:
return f(A,k-1) + A[k]
10. def f(A,k):
if k == 0:
return A[0]
return f(A,k-1) + A[k]
def f(A,k):
if k ==0:
return A[0]
else:
return f(A,k-1) + A[k]
# Test the code
A = [1, 5, 8, 5 -18]
N = len(A)-1 # we substract 1 because indexes start in python from 0 to len(A)-1
Sum_A = f(A,N)
print(Sum_A)
The above function computes the sum of the k first elements of the array A
If you want to calculate the sum of all the elements of the array, then let k = len(A)