
Type
Experience
Scope
Bode Plots by Hand: Real Constants
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 simple transfer function; a real constant.
See MoreState Space to Transfer Function
In this video we show how to transform a linear state space representation of a dynamic system to an equivalent transfer function representation. We will de...
See MoreDesigning a Lag Compensator with Root Locus
This video walks through a phase lag compensator example using the Root Locus method.
See MoreVector Derivatives (the Equation of Coriolis) and the Angular Velocity Vecto...
In this video we develop the Equation of Coriolis which describes how a vector in a rotating reference frame changes from the perspective of an observer in a non-rotating reference frame. We...
See MoreUnderstanding The Sensitivity Function
In this video I explain the sensitivity function and try to demystify the equation used to solve for the nominal sensitivity peak. Sensitivity describes how much process variations affect...
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 MoreTikZ source Code: Switching Manifold
TikZ source Code: Switching Manifold
See MoreData-Driven Control: ERA and the Discrete-Time Impulse Response
In this lecture, we describe how the discrete-time impulse response is used in the eigensystem realization algorithm (ERA).
See MoreDesigning a PID Controller Using the Ziegler-Nichols Method
In this video we discuss how to use the Ziegler-Nichols method to choose PID controller gains. In addition to discussing the method and providing a Matlab i...
See MoreSVD: Optimal Truncation [Matlab]
This video describes how to optimally truncate the singular value decomposition (SVD) for noisy data (Matlab code).
See MoreLaplace domain – tutorial 6: Transfer function & system properties
In this video, we learn about transfer function and system properties. The following materials are covered:1) what is a transfer function?2) relation between...
See MoreTransfer Functions: Introduction and Implementation
In this video we introduce transfer functions and show how they can be derived from a set of linear, ordinary differential equations. We also examine how to...
See MoreControl Bootcamp: Three Equivalent Representations of Linear Systems
This video explores three equivalent representations of linear systems: State-space ODEs, Frequency domain transfer functions, and Time-domain impulse response convolution.
See MoreStanford CS234: Reinforcement Learning | Winter 2019 | Lecture 16 - Monte Ca...
Professor Emma Brunskill
Assistant Professor, Computer Science
Stanford AI for Human Impact Lab
Stanford Artificial Intelligence Lab
Statistical Machine Learning Group
Control Bootcamp: Benefits of Feedback on Cruise Control Example (Part 2)
Here we investigate the benefits of feedback for systems with uncertain dynamics and disturbances, as illustrated on a cruise control example. (Part 2)
See MoreIntroduction to Partial Differential Equations
This is the first lesson in a multi-video discussion focused on partial differential equations (PDEs).In this video we introduce PDEs and compare them with o...
See MoreComplex Fourier Series
This video will describe how the Fourier Series can be written efficiently in complex variables.
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 MoreMIT 6.S191: Introduction to Deep Learning
MIT's introductory course on deep learning methods with applications to computer vision, natural language processing, biology, and more! Students will gain foundational knowledge of deep...
See MoreThe Discrete Fourier Transform (DFT)
This video introduces the Discrete Fourier Transform (DFT), which is how to numerically compute the Fourier Transform on a computer. The DFT, along with its fast FFT implementation, is one...
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 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 MoreTeaching resources for a reinforcement learning course
Teaching resources by Dimitri P. Bertsekas for reinforcement learning courses. The website has links for freely available textbooks (for instructional purposes), videolectures, and course...
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