Everything You Need to Know About Control Theory
Control theory is a mathematical framework that gives us the tools to develop autonomous systems. Walk through all the different aspects of control theory that you need to know. Some of the concepts that are covered include: - The difference between open-loop and closed-loop control - How
From playlist Control Systems in Practice
What Are Non-Minimum Phase Systems? | Control Systems in Practice
Check out the other videos in the series: Part 1 - What Does a Controls Engineer Do? https://youtu.be/ApMz1-MK9IQ Part 2 - What Is Gain Scheduling? https://youtu.be/YiUjAV1bhKs Part 3 - What Is Feedforward Control? https://youtu.be/FW_ay7K4jPE Part 4 - Why Time Delay Matters https://youtu.
From playlist Control Systems in Practice
What Is Gain Scheduling? | Control Systems in Practice
Often, the best control system is the simplest. When the system you’re trying to control is highly nonlinear, this can lead to very complex controllers. This video continues our discussion on control systems in practice by talking about a simple form of nonlinear control: gain scheduling.
From playlist Control Systems in Practice
What Control Systems Engineers Do | Control Systems in Practice
The work of a control systems engineer involves more than just designing a controller and tuning it. Over the course of a project, designing the controller might be a relatively small part of your day-to-day job. Depending on the size and phase of the project, your responsibilities and the
From playlist Control Systems in Practice
The Step Response | Control Systems in Practice
Check out the other videos in this series: https://www.youtube.com/playlist?list=PLn8PRpmsu08pFBqgd_6Bi7msgkWFKL33b This video covers a few interesting things about the step response. We’ll look at what a step response is and some of the ways it can be used to specify design requirements f
From playlist Control Systems in Practice
Data-Driven Control: The Goal of Balanced Model Reduction
In this lecture, we discuss the overarching goal of balanced model reduction: Identifying key states that are most jointly controllable and observable, to capture the most input—output energy. https://www.eigensteve.com/
From playlist Data-Driven Control with Machine Learning
Implement Droop Controllers for Islanded Operation of Remote Microgrids
Learn how to design grid-forming controllers with droop control for an islanded operation of a remote microgrid. A microgrid typically has a preplanned load shedding strategy to reach balanced operation. However, instant load shedding is difficult to implement with the absence of a main g
From playlist Control Systems | Developer Tech Showcase
From playlist CPB Theme 2
Mod-03 Lec-18 Metal and Metal Oxide Nanowires - I
Nano structured materials-synthesis, properties, self assembly and applications by Prof. A.K. Ganguli,Department of Nanotechnology,IIT Delhi.For more details on NPTEL visit http://nptel.ac.in
Data-Driven Control: Change of Variables in Control Systems
In this lecture, we discuss how linear control systems transform under a change of coordinates in the state variable. This will be useful to derive balancing transformations that identify the most jointly controllable and observable states. https://www.eigensteve.com/
From playlist Data-Driven Control with Machine Learning
Fractal uncertainty principle and its applications - Semyon Dyatlov
Emerging Topics Working Group Topic:Fractal uncertainty principle and its applications Speaker: Semyon Dyatlov Affiliation: Massachusetts Institute of Technology Date: October 9, 2017 For more videos, please visit http://video.ias.edu
From playlist Mathematics
J.-M. Martell - A minicourse on Harmonic measure and Rectifiability (Part 3)
Solving the Dirichlet boundary value problem for an elliptic operator amounts to study the good properties of the associated elliptic measure. In the context of domains having an Ahlfors regular boundary and satisfying theso-called interior corkscrew and Harnack chain conditions (these ar
From playlist Rencontres du GDR AFHP 2019
Gabriela Ciolek - Sharp Bernstein and Hoeffding type inequalities for regenerative Markov chains
The purpose of this talk is to present Bernstein and Hoeffding type functional inequalities for regenerative Markov chains. Furthermore, we generalize these results and show exponential bounds for suprema of empirical processes over a class of functions F which size is controlled by its un
From playlist Les probabilités de demain 2017
Mod-03 Lec-27 Nanocomposites - I
Nano structured materials-synthesis, properties, self assembly and applications by Prof. A.K. Ganguli,Department of Nanotechnology,IIT Delhi.For more details on NPTEL visit http://nptel.ac.in
Mod-04 Lec-36 Magnetic Properties - III
Nano structured materials-synthesis, properties, self assembly and applications by Prof. A.K. Ganguli,Department of Nanotechnology,IIT Delhi.For more details on NPTEL visit http://nptel.ac.in
On the competition between advection and vortex stretching -Jiajie Chen
Workshop on Recent developments in incompressible fluid dynamics Topic: On the competition between advection and vortex stretching Speaker: Jiajie Chen Affiliation: California Institute of Technology Date: April 07, 2022 Whether the 3D incompressible Euler equations can develop a finite-
From playlist Mathematics
Nexus trimester - Cynthia Dwork (Microsoft Research)
Differentially Private False Discovery Control Cynthia Dwork (Microsoft Research) March 30, 2016
From playlist Nexus Trimester - 2016 - Secrecy and Privacy Theme
Unity Tutorial | How To Create Zombie Mobile VR Game In Unity3D | Session 03 | #unity3d | #gamedev
Don’t forget to subscribe! In this Unity tutorial, you will learn to create a zombie mobile VR game in Unity3D. This project is for any beginner, intermediate or expert developer in ( VR )Virtual Reality. The project will cover everything that is required to build and test a complete Zom
From playlist Create Zombie Mobile VR Game In Unity3D
Optimized Evolution of Networks by Sarika Jalan
PROGRAM DYNAMICS OF COMPLEX SYSTEMS 2018 ORGANIZERS Amit Apte, Soumitro Banerjee, Pranay Goel, Partha Guha, Neelima Gupte, Govindan Rangarajan and Somdatta Sinha DATE: 16 June 2018 to 30 June 2018 VENUE: Ramanujan hall for Summer School held from 16 - 25 June, 2018; Madhava hall for W
From playlist Dynamics of Complex systems 2018
What Is Feedforward Control? | Control Systems in Practice
A control system has two main goals: get the system to track a setpoint, and reject disturbances. Feedback control is pretty powerful for this, but this video shows how feedforward control can make achieving those goals easier. Temperature Control in a Heat Exchange Example: http://bit.ly
From playlist Control Systems in Practice