
Denoising Data with FFT [Matlab]
This video describes how to clean data with the Fast Fourier Transform (FFT) in Matlab.
See MoreUnderstanding Model Predictive Control, Part 3: MPC Design Parameters
To successfully control a system using an MPC controller, you need to carefully select its design parameters. This video provides recommendations for choosing the controller sample time...
See MoreDynamic Modeling in Process Control
I'll show you how we can build the dynamic models necessary to derive process transfer functions as an introduction to process control.
See MoreRL Course by David Silver - Lecture 1: Introduction to Reinforcement Learnin...
Introduces reinforcment learning (RL), an overview of agents and some classic RL problems.
See MoreThe Fourier Transform
This video will discuss the Fourier Transform, which is one of the most important coordinate transformations in all of science and engineering.
See MoreControl Bootcamp: Observability Example in Matlab (Part 2)
This video continues to explore observability in Matlab on the example system of an inverted pendulum on a cart. We look at the observability Gramian.
See MoreEquations of Motion for a Planar Vehicle
In this video we outline equations of motion for a simple planar vehicle. This model is suitable for vehicles such as boats or hovercraft that that are rest...
See MoreLecture 31: Time response, Controllability and Observability
Principal Component Analysis (PCA) [Matlab]
This video describes how the singular value decomposition (SVD) can be used for principal component analysis (PCA) in Matlab.
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 MorePosicast Control 4 - ( In English )
This video continues to explore the gantry crame control simulations in open-loop- The main focus is the half-cycle Posicast.
See MoreControl Systems with MATLAB: An Introduction
Controllability of a Linear System: The Controllability Matrix and the PBH T...
In this video we explore controllability of a linear system. We discuss two methods to test for controllability, the controllability matrix as well as the P...
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 MoreUsing ‘minreal’ in Matlab to Perform Transfer Function Pole/Zero Cancellatio...
In this tutorial we look at using the ‘minreal’ function in Matlab to perform pole/zero cancellation from transfer functions.Topics and time stamps:(0:10) – ...
See MoreDerivation of Rodrigues’ Rotation Formula
In this video we explain and derive Rodrigues’ Rotation Formula. This functions describes how to rotate an arbitrary vector about another arbitrary axis of rotation. This has applications to...
See MoreControl Bootcamp: Laplace Transforms and the Transfer Function
Here we show how to compute the transfer function using the Laplace transform.
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 MoreSingular Value Decomposition (SVD): Matrix Approximation
This video describes how the singular value decomposition (SVD) can be used for matrix approximation.
See MoreStandard HW Problem #2: Which is the real open loop transfer function?
In this video, we’ll go through another standard homework problem so you can see how you can apply many of the things you’re learning into a single problem. The question is, we have two...
See MoreRelationship Between Poles and Performance of a Dynamic System
In this video we establish the relationship between pole locations and associated performance of a dynamic system. This relationship is useful to translate ...
See MoreIIR Filters - Theory and Implementation (STM32)
Tutorial on IIR (Infinite Impulse Response) digital filters, including digital filtering overview, IIR filter theory, FIR vs IIR, Z-transform design/analysis, design using analogue...
See MoreData-Driven Control: Balancing Transformation
In this lecture, we derive the balancing coordinate transformation that makes the controllability and observability Gramians equal and diagonal. This is the critical step in balanced model...
See MoreSVD: Importance of Alignment [Python]
This video describes the importance of aligning data when using the singular value decomposition (SVD) (Python code).
See MoreLaplace domain – tutorial 2: Region of Convergence (ROC)
In this video, we learn five golden rules on how to quickly find the Region of Convergence (ROC) of Laplace transform. Learn Signal Processing 101 in 31 lect...
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