
Control Bootcamp: Sensitivity and Complementary Sensitivity (Part 2)
Here we explore the sensitivity and complementary sensitivity functions, which are critical in understanding robustness and performance. (Part 2)
See MoreUsing a Homogeneous Transformation Matrix to Combine Rotation and Translatio...
In this video we discuss how to properly deal with coordinate frames that are both rotated and translated from one another. We develop a homogeneous transfo...
See MoreLecture 27: Lead Compensator Design using Bode plots
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 MorePeter Ponders PID - Root Locus Is Useless
Using ‘rlocus’ in Matlab to Plot the Root Locus
This tutorial illustrates how to use the ‘rlocus’ command in Matlab to quickly and easily sketch the root locus.Discussion on the 3 example transfer function...
See MoreLecture 25: Nyquist stability criterion
TikZ source Code: Feedforward passivity index
TikZ source Code: Feedforward passivity index
See MoreControllability [Control Bootcamp]
This lecture explores when a linear system is controllable. We begin with the simple test in terms of the rank of the controllability matrix on a few intuitive examples.
See MoreRelationship Between Poles and Performance of a Dynamic System
In this video we establish the relationship between pole locations and associated performance of a dynamic system. This relationship is useful to translate ...
See MoreLinear 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 MoreFIR Filter Design and Software Implementation
FIR (Finite Impulse Response) filter theory, design, and software implementation. Real-time software implementation on a custom STM32-based PCB. Overview of digital filtering, use-cases...
See MoreTikZ source Code: Mobile Robot Slip
TikZ source Code: Mobile Robot Slip
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 MoreData-Driven Control: Balanced Truncation Example
In this lecture, we explore the balanced truncation procedure on an example in Matlab. In particular, we demonstrate the ability of a balancing transformation to make the controllability...
See MoreTime domain - tutorial 7: system properties
In this video, we cover system properties. The concept of memoryless, causal, stable, invertible, time-invariant and linear systems is intuitively explained...
See MoreSVD: Eigenfaces 2 [Matlab]
This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Matlab code, part 2).
See More3D Printed Laboratory Equipment to Study Fundamentals of Vibrations: Complia...
This low-cost, portable, and 3D-Printed Laboratory Equipment (3D-PLE) can be utilized to achieve the following learning outcomes:
- Derive the equation of motion of a translational...
Coriolis 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 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 MoreTime domain - tutorial 10: interconnection of LTI systems
In this video, we learn how to connect LTI systems to make a bigger system. The learning objectives are to:1) get familiar with parallel and series intercon...
See MoreFeedback Control and Block Diagram Introduction
How do engineers begin to design controllers to respond to disturbances and maintain set points? In this example, I'll discuss how we can design a controller...
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 MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 8 - Policy Gr...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
Control Bootcamp: Loop shaping
This video explores shaping the loop transfer function to have desirable sensitivity and complementary sensitivity.
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