
Second Order Dynamics Example
How will a second order process respond in the time domain when subjected to a unit step input? What other behaviors can we expect to see and why? Tune in to...
See MoreRL Course by David Silver - Lecture 10: Classic Games
An overview of Game Theory, minimax search, self-play and imperfect information games.
See MoreControl Bootcamp: Observability
This video explores the observability of a linear system, namely the ability to estimate the full state "x(t)" from a time-history of limited output measurements "y(t)".
See MoreA Nonlinear, 6 DOF Dynamic Model of an Aircraft: the Research Civil Aircraft...
In this video we develop a dynamic model of an aircraft by describing forces and moments generated by aerodynamic, propulsion, and gravity that act on the ai...
See MoreControllability and the PBH Test [Control Bootcamp]
This video describes the PBH test for controllability and describes some of the implications for good choices of "B".
See MoreThe Root Locus Method - Introduction
This Root Locus method is a fantastic way of visualizing how the poles of a system move through the S-plane when a single system parameter is varied from 0 to infinity. I show how to...
See MoreData-Driven Control: Change of Variables in Control Systems (Correction)
This video corrects a typo in the previous lecture.
See MorePractical Implementation Issues with a Full State Feedback Controller
In this video we investigate practical implementation issues that may arise when attempting to use a full state feedback controller on a real system. We ill...
See MorePeter Ponders PID - Closed Loop Zeros
This video covers closed loop zeros, what causes zeros and the benefits and drawbacks of closed loop zeros.
See MoreTime domain - tutorial 7: system properties
In this video, we cover system properties. The concept of memoryless, causal, stable, invertible, time-invariant and linear systems is intuitively explained...
See MoreFrequency domain – tutorial 6: Fourier transform tables
In this video, we learn about Fourier transform tables which enable us to quickly travel from time to the frequency domain. The main learning objective is to...
See MorePeter Ponders PID - Controlling a non-integrating single pole system. Part 3...
Part 3 uses PI control which is the only practical means of control a non-integrating single pole system.http://deltamotion.comhttp://forum.deltamotion.com
See MoreBasic Control Lectures
Systems approach, understanding and describing the operation of systems and methods of controlling them are among the basic knowledge of engineering education. But understanding the main...
See MoreCourse Introduction (Signal Processing 101)
Learn Signal Processing 101 in 31 lectures covering time, frequency and Laplace domain in about 8 hours all together:https://www.youtube.com/watch?v=KZd68xga...
See MoreWhat Is a Control System and Why Should I Care? (Part 2)
This talk gives a glimpse of some of the methods and math that allow us to understand feedback systems. Continuing on from Part 1, it gives a description of how we use scientific principles...
See MoreRandomized Singular Value Decomposition (SVD)
This video describes how to use recent techniques in randomized linear algebra to efficiently compute the singular value decomposition (SVD) for extremely large matrices.
See MoreClosed Loop Feedback Control
Intro to closed loop (feedback) control motivation, theory, block diagrams and block diagram algebra, and PID controllers
See MorePID Control with Posicast 7 - ( In English )
In this video closed-loop configurations with PID controllers and Posicast are introduced.
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 16 - Monte Ca...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
Understanding Model Predictive Control, Part 6: How to Design an MPC Control...
Learn how to design an MPC controller for an autonomous vehicle steering system using Model Predictive Control Toolbox™. This video walks you through the design process of an MPC controller...
See MoreBode Plot Gain and Phase Margin Determination
I'll show you how we can determine the Gain and Phase Margin from a Bode Plot (at some fixed controller gain).
See MoreSmart Projectile State Estimation Using Evidence Theory
This journal article provides a very good practical understanding of Dempster-Shafer theory using sensor fusion and state estimation as the backdrop.
See MoreThe Taylor Series
In this video we discuss the Taylor Series (and the closely related Maclaurin Series). These are two specific types of Power Series that allow you to approx...
See MoreBode Plots by Hand: Poles and Zeros at the Origin
This is a continuation of the Control Systems Lectures. This video describes the benefit of being able to approximate a Bode plot by hand and explains what a Bode plot looks like for a...
See MoreHumans, Robots, and Non-Prehensile Manipulation
This is a fun video that was inspired by a presentation I saw at the 2015 International Conference on Robotics and Automation (ICRA). I wanted to see if humans could duplicate the...
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