
Tuning a Fuzzy Logic Controller with Data | Fuzzy Logic, Part 4
This video covers the basics of data-driven approaches to tuning fuzzy inference systems. See what it means to find an optimal solution, which fuzzy inference parameters are being tuned...
See MoreUnderstanding PID Control, Part 3: Expanding Beyond a Simple Derivative
This video describes how to make an ideal PID controller more robust when controlling real systems that don’t behave like ideal linear models. Noise is generated by sensors and is present in...
See MorePosicast Control 6 - ( In English)
This video presents the transition from half-cycle to other cycles ( third-cycle, fourth-cycle,..)
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 MoreDigital Twin Parameter Tuning
Learn how to tune the digital twin model of a pump system to its physical asset using Simulink Design Optimization™. You can use measured data collected from the physical system to tune the...
See MoreComputing 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 MoreControl Bootcamp: Sensitivity and Robustness
Here we show that peaks in the sensitivity function result in a lack of robustness.
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 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 ...
See MorePeter Ponders PID-Fuzzy Logic vs PID
There are many academic and engineering papers showing how good fuzzy logic control is relative to PID control. Every FL vs PID paper I have seen compares...
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 ...
See MorePeter Ponders PID - T0P1 Part 4, Misc Topics
This video covers another way to compute symbolic gains, the difference between having the P gain act on the error or just the feedback, extending bandwidt...
See MoreDrone Simulation and Control, Part 3: How to Build the Flight Code
This video describes how to create quadcopter flight software from the control architecture developed in the last video. It covers how to process the raw sensor readings and use them with...
See MoreFrequency domain – tutorial 13: sampling (theory of everything in signal pro...
In this video, we learn about sampling which enables us to travel from analog to digital world. The following materials are covered:1) why traveling to the ...
See MoreTikZ source Code: Feedback passivity index
TikZ source Code: Feedback passivity index
See MoreFourier Analysis: Overview
This video presents an overview of the Fourier Transform, which is one of the most important transformations in all of mathematical physics and engineering. This series will introduce the...
See MoreControl Systems Lectures - LTI Systems
This lecture describes what it means when we say a system is linear and time invariant. I also try to give an example as to why these systems are so important when designing control systems...
See MoreTikZ source Code: Lyapunov Lure
TikZ source Code: Lyapunov Lure
See MoreThe Fourier Transform and Derivatives
This video describes how the Fourier Transform can be used to accurately and efficiently compute derivatives, with implications for the numerical solution of differential equations.
See MoreLaplace domain – tutorial 6: Transfer function & system properties
In this video, we learn about transfer function and system properties. The following materials are covered:1) what is a transfer function?2) relation between...
See MoreOverview of Dempster-Shafer Theory (Evidence Theory)
This is an overview of Dempster-Shafer Theory (Evidence Theory) that provides an introduction, definition, basic information about combination rules, some issues with the theory, and the...
See MoreInternal Model Control IMC Introduction
Internal Model Control IMC Introduction
See MoreSVD Method of Snapshots
This video describes how to compute the singular value decomposition (SVD) using the method of snapshots, by Sirovich 1987.
See MoreFirst Order Dynamics in Process Control
An overview on the identification and behavior of first order dynamics in process control.
See MoreNumerically Linearizing a Dynamic System
In this video we show how to linearize a dynamic system using numerical techniques. In other words, the linearization process does not require an analytical...
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