Standing Waves Demonstration

In this video we demonstrate standing waves. We show how the system can be excited by oscillating at specific frequencies to generating standing waves. The...

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Designing a Lead Compensator with Bode Plot

This video walks through a phase lead compensator example using the Bode Plot method.

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Digital 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...

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Laplace domain – tutorial 4: Laplace transform examples

In this video, we solve lots of examples to practice how to quickly find Laplace transform using the table of pairs & properties and five golden rules on ROC...

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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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Peter Ponders PID - Lead/lag closed loop control

Motor position control using a lead lag filter for closing the loop. The result is a motion that doesn't overshoot but has a little bit more lag than a PID.... See More

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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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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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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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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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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Lecture 2: LTI Systems, Laplace Transform Review and Transfer Function

In this video, Linear Time Invariant [LTI] Systems have been discussed, a review of Laplace Transforms have been done and the concept of transfer function is... See More

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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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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Posicast Control - 1 ( In English)

This video is an introduction to a learning journey about Posicast Control structured as follows: - Preface - Motivation - Introduction to Posicast Control - Half-Cycle Posicast

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Lecture 17: Introduction to Compensators/Controllers

This video introduces compensators or controllers. The 3 basic control actions - proportional, derivative and integral - have been discussed. Also discussed ... 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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Understanding and Sketching the Root Locus

In this video we discuss how to sketch the root locus for a system by developing a series of 5 core rules augmented by 5 supplemental rules (for a total of 1...

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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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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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Controllability and the Discrete-Time Impulse Response [Control Bootcamp]

This lecture derives the impulse response for a discrete-time system and relates this to the controllability matrix.

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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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Data-Driven Control: Change of Variables in Control Systems

In this lecture, we discuss how linear control systems transform under a change of coordinates in the state variable. This will be useful to derive balancing transformations that identify...

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