
TUTORIAL on Stability and Routh Hurwitz criterion
SVD: Image Compression [Matlab]
This video describes how to use the singular value decomposition (SVD) for image compression in Matlab.
See MoreDerivation of the 1D Wave Equation
In this video, we derive the 1D wave equation. This partial differential equation (PDE) applies to scenarios such as the vibrations of a continuous string. ...
See MoreKoopman Spectral Analysis (Multiscale systems)
In this video, we discuss recent applications of data-driven Koopman theory to multi-scale systems.
See MoreLinear Regression 1 [Matlab]
This video describes how the singular value decomposition (SVD) can be used for linear regression in Matlab (part 1).
See Morecrash course on complex numbers
In this video, we quickly review “Complex Numbers”. The following materials are covered:1- Cartesian and polar representation of complex numbers2- how to con...
See MoreLinear Systems of Equations
This video describes linear systems of equations and when they have solutions.
See MoreMachine Learning Control: Genetic Programming Control
This lecture discusses the use of genetic programming to manipulate turbulent fluid dynamics in experimental flow control.
See MoreTime domain - tutorial 8: LTI systems, impulse response & convolution
In this video, the following materials are covered:1) the beauty of linear & time invariant (LTI) systems2) why the impulse response of an LTI system is so i...
See MoreTransfer Functions in Simulink for Process Control
An introduction on deriving transfer functions from a linearized state space model via Laplace Transforms, and how we can input transfer functions into Simul...
See MoreUnderstanding Model Predictive Control, Part 5: How To Run MPC Faster
This video starts by providing quick tips for implementing MPC for fast applications. If you need to further decrease the sample time for your fast applications, you can use explicit MPC...
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
Direct Design Example for PID Controller
I go through an example problem of how we can use Direct Design (also called Direct Synthesis) to determine the tuning parameters for a PID controller, given...
See MoreControl Bootcamp: Cruise Control Example with Proportional-Integral (PI) co...
In this video, we show that introducing integral control reduces the steady-state tracking error to zero in the cruise control example. We also use a more sophisticated model for the...
See MoreConstraint Enforcement for Improved Safety | Learning-Based Control
Learn about the constraints of your system. Then see a how to enforce those constraints so the system does not violate them. Constraint enforcement is important for safety-critical...
See MoreDrone Simulation and Control, Part 4: How to Build a Model for Simulation
This video describes how a good model of the drone and the environment it operates in can be used for simulation and test. It shows how nonlinear and linear models are both needed for...
See MoreState Space to Transfer Function
In this video we show how to transform a linear state space representation of a dynamic system to an equivalent transfer function representation. We will de...
See MorePeter Ponders PID - Simulation Methods, Which is Best?
Fuzzy Logic, Part 3: Design and Applications of a Fuzzy Logic Controller
This video walks you through the process of designing a fuzzy inference system that can balance a pole on a cart. You can design a fuzzy logic controller using just experience and intuition...
See MoreComplex Fourier Series
This video will describe how the Fourier Series can be written efficiently in complex variables.
See MoreUsing a Homogeneous Transformation Matrix to Combine Rotation and Translatio...
In this video we discuss how to properly deal with coordinate frames that are both rotated and translated from one another. We develop a homogeneous transfo...
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