
Peter 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 5: Tuning the PID controller
In the last video, we learned how accurate, nonlinear models are great for simulation but they don’t lend themselves well to linear analysis and design. This video takes the nonlinear model...
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 MoreTikZ source Code: Feedback passivity index
TikZ source Code: Feedback passivity index
See MoreFourier Series [Python]
This video will describe how to compute the Fourier Series in Python.
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 MoreTikZ source Code: Lyapunov Lure
TikZ source Code: Lyapunov Lure
See MoreMotivation for Full-State Estimation [Control Bootcamp]
This video discusses the need for full-state estimation. In particular, if we want to use full-state feedback (e.g., LQR), but only have limited measurements of the system, it is necessary...
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...
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 MoreLecture 2: LTI Systems, Laplace Transform Review and Transfer Function
Control Bootcamp: Sensitivity and Complementary Sensitivity
Here we explore the sensitivity and complementary sensitivity functions, which are critical in understanding robustness and performance.
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 MoreControl Systems with MATLAB - Modelling
PID Control with Posicast Control 8 - ( In English )
This is the follow up of PID Control with Posicast ( Part II )
See MoreLecture 1 Introduction to Automatic Control
Linear Systems of Equations, Least Squares Regression, Pseudoinverse
This video describes how the SVD can be used to solve linear systems of equations. In particular, it is possible to solve nonsquare systems (overdetermined or underdetermined) via least...
See MoreSolving the 1D Wave Equation
In this video, we solve the 1D wave equation. We utilize the separation of variables method to solve this 2nd order, linear, homogeneous, partial differenti...
See MoreBode Plots by Hand: Real Poles or Zeros
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 MoreFrequency domain – tutorial 12: FT of periodic signals
In this video, we learn how to find the Fourier transform for periodic signals. The following materials are covered:1) relation between Fourier transform and...
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 MoreDigital Twins
This lecture discusses the use of data-driven digital twins in advanced model-based design and engineering, and the related digital thread, which ties together the data throughout an entire...
See MoreTypes of Machine Learning 2
This lecture gives an overview of the main categories of machine learning, including supervised, un-supervised, and semi-supervised techniques, depending on the availability of expert labels...
See MoreInternal Model Control IMC Introduction
Internal Model Control IMC Introduction
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