Deriving Percent Overshoot, Settling Time, and Other Performance Metrics

In this video we examine a second order dynamic system and derive how various performance metrics (such as time to first peak, magnitude at first peak, perce...

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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...

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Koopman Spectral Analysis (Multiscale systems)

In this video, we discuss recent applications of data-driven Koopman theory to multi-scale systems.

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Frequency domain – tutorial 7: Fourier transform examples marathon

In this video, we solve lots of lots examples to practice how to quickly find Fourier transform using table of pairs and properties. The learning objective i...

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Bode 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...

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Inner Products in Hilbert Space

This video will show how the inner product of functions in Hilbert space is related to the standard inner product of vectors of data.

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Stanford CS234: Reinforcement Learning | Winter 2019 | Lecture 9 - Policy Gr...

Professor Emma Brunskill

Assistant Professor, Computer Science

Stanford AI for Human Impact Lab

Stanford Artificial Intelligence Lab

Statistical Machine Learning Group

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Introductory course on aerial robotics, University of Pennsylvania

This course exposes you to the mechanics, design, control, and planning of robotic flight in 3 dimensional environments for micro-aerial vehicles, with an emphasis on quadrotors.

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RL Course by David Silver - Lecture 5: Model Free Control

Dives into On Policy Monte-Carlo Control and Temporal Difference Learning, as well as Off-Policy Learning.

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Machine Learning Control: Genetic Programming

This lecture explores the use of genetic programming to simultaneously optimize the structure and parameters of an effective control law.

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Constraint 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...

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Inputs and Outputs as defined by a Process Control Engineer

Defining process inputs and outputs is a lot more complicated than I initially thought when I was learning about process control. In this video, I share how ...

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Peter Ponders PID - InputShaping

Input shaping is used by cranes and other applications where a load that vibrates or swings needs to be moved into position without vibrating or oscillating ... See More

Dynamic Mode Decomposition (Examples)

In this video, we continue to explore the dynamic mode decomposition (DMD). In particular, we look at recent methodological extensions and application areas in fluid dynamics, disease...

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Understanding Model Predictive Control, Part 4: Adaptive, Gain-Scheduled and...

This video explains the type of MPC controller you can use based on your plant model, constraints, and cost function. An optimization problem with these properties is a convex one, and you...

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IMC PID Design with Dead Time

IMC PID Design with Dead Time

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Peter Ponders PID - Root Locus Is Useless

Root Locus is almost worthless. Knowing where the poles are as only 1 gain is changed is not very useful since one only has a limited choices on response. ... See More

Introduction to the Fourier Transform (Part 1)

This video is an introduction to the Fourier Transform. I try to give a little bit of background into what the transform does and then I go step by step through explaining the Inverse...

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Simple 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...

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Transfer Function to State Space

In this video we show how to transform a transfer function to an equivalent state space representation. We will derive various transformations such as contr...

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Lecture 5: Block Diagram Reduction

Reduction of block diagrams sing block diagram algebra is discussed in this video See More

Numerically 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 description of the system. This...

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Using Antenna Toolbox with Phased Array Systems

When you create antenna arrays such as a uniform linear array (ULA), you can use antennas that are built into Phased Array System Toolbox™. Alternatively, you can use Antenna Toolbox™...

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Lecture 15: Root Locus

This video discusses about the concept of root locus. Rules for sketching Root locus are also laid out. The concept have been explained with 2 examples. If y... See More

Routh-Hurwitz Criterion, Special Cases

This video presents two special cases that you can encounter when filling out the Routh Array. The first case is when there is a zero in a row with at least one non-zero element following...

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