
RL Course by David Silver - Lecture 7: Policy Gradient Methods
Looks at different policy gradients, including Finite Difference, Monte-Carlo and Actor Critic.
See MoreRoot Locus Plot: Common Questions and Answers
In this video I go through some of the common questions I've received on my other root locus videos. 1) Why do we call the poles of a system the roots?2) How do I plot the damping ratio...
See MorePeter Ponders PID - IAE,ITAE,ISE Performance indicators
Performance indicators can be used to compute closed loop pole locations. Only one gain parameter is required to move the pole locations closer to the origi...
See MoreInto Stability: Walter R Evans and the Story of Root Locus
In the aftermath of World War II, engineers faced challenges their slide rules couldn’t solve. Walter R. Evans wasn’t looking to change the world—he just wanted to help engineers see clearly...
See MoreNumerically Calculating Partial Derivatives
In this video we discuss how to calculate partial derivatives of a function using numerical techniques. In other words, these partials are calculated withou...
See MoreConstraint 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...
See MoreGain and Phase Margins Explained!
In this video I explain gain and phase margins. If you are confused by this topic I hope this video will help tie all of the concepts together that go into understanding what gain and phase...
See MoreAuto Tuning a Small DC Motor in Torque Mode
I was really testing the picture in picture feature of the Screen Flow software I use to make these videos. I knew the auto tuning would work. I kept the v...
See MoreSVD and Optimal Truncation
This video describes how to truncate the singular value decomposition (SVD) for matrix approximation.
See MoreThe Inverse Laplace Transform
In this video we show how to perform the inverse Laplace transform on a signal in the Laplace domain to obtain its equivalent representation in the time doma...
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 MoreTikZ source Code: Two systems in negative feedback
TikZ source Code: Two systems in negative feedback
See MoreFinal Value Theorem
In this video we discuss the Final Value Theorem. Given a signal in the Laplace domain, this allows us to predict the steady state value of the signal in th...
See MoreTuning 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 MoreDynamic 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...
See MoreTikZ source Code: Sliding Mode Control Example System 2
TikZ source Code: Sliding Mode Control Example System 2
See MoreControl Bootcamp: Loop shaping
This video explores shaping the loop transfer function to have desirable sensitivity and complementary sensitivity.
See MoreHeat Transfer Demonstration
In this video we demonstrate heat transfer through a metal bar. By heating one side of the bar we can impose a non-uniform temperature distribution across t...
See MoreSimple Vector Mechanics: Inner Product, Scalar/Vector Projection, and Cross ...
In this video we discuss several simple vector operations such as: 1. Computing the magnitude of a vector 2. The inner/dot product 3. The scalar and vector projection 4. The cross product
See MoreDenoising Data with FFT [Python]
This video describes how to clean data with the Fast Fourier Transform (FFT) in Python.
See MoreSparse Identification of Nonlinear Dynamics for Model Predictive Control
This lecture shows how to use sparse identification of nonlinear dynamics with control (SINDYc) with model predictive control to control nonlinear systems purely from data.
See MoreFrequency domain – tutorial 2: Fourier series
In this video, we learn Fourier series which enables us to travel from time to the frequency domain when a signal is periodic. The following materials are co...
See MoreCoriolis Effect Demonstration (with Drones)
We demonstrate how rotating reference frames give rise to the Coriolis effect and centrifugal acceleration. In this video, we approach this as a simple physics demonstration and examine...
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 MoreTime domain - tutorial 1: what is signal processing?
In this video, we review the concept of signal processing and why it is useful to learn it. Learn Signal Processing 101 in 31 lectures covering time, frequen...
See More