
Lecture 20: PID and Lag-Lead Compensator Design using Root Locus
SVD: Eigenfaces 3 [Matlab]
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Matlab code, part 3).
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 MoreStability and Eigenvalues [Control Bootcamp]
Here we discuss the stability of a linear system (in continuous-time or discrete-time) in terms of eigenvalues. Later, we will actively modify these eigenvalues, and hence the dynamics...
See MoreDesigning a Lag Compensator with Bode Plot
This video walks through a phase lag compensator example using the Bode Plot method.
See MoreParticle Filter Explained without Equations
This video provides a quick graphical introduction to the particle filter. It does a good job building some intuition behind the filter without ever touching on any mathematics. It's worth a...
See MoreLinear Regression 2 [Python]
This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 2).
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 MoreMachine Learning Control: Tuning a PID Controller with Genetic Algorithms
This lecture shows how to use genetic algorithms to tune the parameters of a PID controller. Tuning a PID controller with genetic algorithms is not generally recommended, but is used to...
See MoreLaplace Transforms to Derive Transfer Functions
Once we have a state space model, we will take a Laplace Transform to derive the transfer function to determine the response of an output relative to an inpu...
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 13 - Fast Rei...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
Data-Driven Control: ERA/OKID Example in Matlab
In this lecture, we explore the observer Kalman filter identification (OKID) and eigensystem realization algorithm (ERA) in Matlab on an example.
See MoreUnderstanding Model Predictive Control, Part 7: Adaptive MPC Design with Sim...
In this video, you will learn how to design an adaptive MPC controller for an autonomous steering vehicle system whose dynamics change with respect to the longitudinal velocity. After you...
See MoreDirect Synthesis for PID Controller Design
What tuning parameters should you choose for your controller? The Direct Synthesis Model is one method control engineers use today to evaluate controller par...
See MoreRL Course by David Silver - Lecture 9: Exploration and Exploitation
An overview of multi-armed bandits, contextual bandits and Markov Decision Processes.
See MoreDrone Simulation and Control, Part 2: How Do You Get a Drone to Hover?
In the last video, we showed we can manipulate the four motors of a quadcopter to maneuver it in 3D space by getting it to roll, pitch, yaw, and change its thrust. We also covered the four...
See MoreSimple Examples of PID Control
In this video I continue the topic of PID control. We walk through a simple control system and visualize how each of the three paths, P, I, and D, all address specific problems that arise...
See MoreState Space Representation of Differential Equations
In this video we show how to represent differential equations (either linear or non-linear) in state space form. This is useful as it allows us to combine an...
See MorePeter Ponders PID - InputShaping
Computing Euler Angles: The Euler Kinematical Equations and Poisson’s Kinema...
In this video we discuss how the time rate of change of the Euler angles are related to the angular velocity vector of the vehicle. This allows us to design...
See MorePeter Ponders PID - Root Locus Is Useless
Building a Matlab/Simulink Model of an Aircraft: the Research Civil Aircraf...
In this video we implement the RCAM model as a Matlab script that is called from a Simulink model. The result is a fully encapsulated Simulink model of a nonlinear, 6 DOF aircraft. Please...
See MoreSolving the Heat Equation with the Fourier Transform
This video describes how the Fourier Transform can be used to solve the heat equation. In fact, the Fourier transform is a change of coordinates into the eigenvector coordinates for the...
See MoreSketching Root Locus Part 2
This is the second part of how to sketch a root locus by hand. However instead of following the normal rules for sketching a locus that you'd see in a book, I decided to explain the rules...
See MoreBandwidth of a Dynamic System
In this video we discuss the definition and physical meaning of the bandwidth of a dynamic system. We’ll see that this is a performance metric that is used ...
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