
Type
Experience
Scope
Fourier Series [Python]
This video will describe how to compute the Fourier Series in Python.
See MoreUnderstanding Model Predictive Control, Part 3: MPC Design Parameters
To successfully control a system using an MPC controller, you need to carefully select its design parameters. This video provides recommendations for choosing the controller sample time...
See MoreInstrument Kit for ME 316
This hardware kit accompanies the textbook "Project Based Engineering Instrumentation with CircultPython" by Dr. Carlos Montalvo. Using this hardware and the textbook you’ll build some...
See MoreFrequency 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...
See MoreFrequency domain – tutorial 5: Fourier transform
In this video, we learn about Fourier transform which enables us to travel from time to frequency domain when a signal is not periodic. The learning objectiv...
See MoreLecture 4: Electromechanical system Transfer functions and Analogous circuit...
Stanford 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
Posicast Control 2 - ( In English )
This video is about the Half-Cycle Posicast. It includes some hints about how to simulate this type of control using Simulink
See MoreSecond Order Dynamics in Process Control
How do we simulate two first order transfer functions in series, a inherently second order system, or two coupled differential equations? Tune in to find out!
See MorePeter Ponders PID - LQR Optimizing Two Outputs
RL Course by David Silver - Lecture 2: Markov Decision Process
Explores Markov Processes including reward processes, decision processes and extensions.
See MoreUnderstanding PID Control, Part 2: Expanding Beyond a Simple Integral
The first video in this series described a PID controller, and it showed how each of the three branches help control your system.That seemed simple enough and appeared to work. However, in...
See MoreVisually Determining Transfer Functions
Process Control classes can get pretty hard to follow when you lose sight of what transfer functions really are. How do you get them in the first place?
See MorePeter Ponders PID - Controlling a non-integrating single pole system. Part 3...
Part 3 uses PI control which is the only practical means of control a non-integrating single pole system.http://deltamotion.comhttp://forum.deltamotion.com
See MoreControl System with MATLAB - Block Diagram Reduction
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 MoreTikZ source Code: Cascade of several subsystems
TikZ source Code: Cascade of several subsystems.
See MoreDesigning a Lag Compensator with Root Locus
This video walks through a phase lag compensator example using the Root Locus method.
See MoreRouth-Hurwitz Criterion, Beyond Stability
This video explains of few uses of the Routh-Hurwitz Criterion that go beyond simply determining how many poles exist in the right half plane. I cover how to determine gain margin and how...
See MoreIIR Filters - Theory and Implementation (STM32)
Tutorial on IIR (Infinite Impulse Response) digital filters, including digital filtering overview, IIR filter theory, FIR vs IIR, Z-transform design/analysis, design using analogue...
See MoreTikZ source Code: Feedback system
TikZ source Code: Feedback system
See MoreSingular Value Decomposition (SVD): Matrix Approximation
This video describes how the singular value decomposition (SVD) can be used for matrix approximation.
See MoreSimulating the Logistic Map in Matlab
This video shows how simple it is to simulate discrete-time dynamical systems, such as the Logistic Map, in Matlab.
See MoreLinearizing a Simulink Model Using the Linear Analysis Tool and ‘linmod’
In this video we show how to linearize a non-linear Simulink model using numerical techniques. This approach is extremely powerful as it allows automatic ge...
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).
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