
Laplace domain – tutorial 3: Laplace transform tables
In this video, we cover Laplace transform tables which help us to quickly find Laplace and inverse Laplace transforms. The main learning objective is to full...
See MoreMotivation for Full-State Estimation [Control Bootcamp]
This video discusses the need for full-state estimation. In particular, if we want to use full-state feedback (e.g., LQR), but only have limited measurements of the system, it is necessary...
See MorePeter Ponders PID - Controlling an Under Damp Mass and Spring System
Demonstrates:How to calculate the PID gains. The importance of the derivative gain. How to simulate the mass and spring systemControl limitations based on s...
See MoreLecture 18: PI and Lag Compensator Design using Root Locus
Cascade Control Intro
How can we improve the disturbance rejection of our controllers using additional, relevant measurements? Tune in to find out!
See MorePeter Ponders PID - Why PID with 2nd Derivative Gain?
If you have ever tuned a hydraulic system and wondered why PID control didn't work better than PI control the answer is here. Since the 1980s people have kn...
See MoreLecture 20: PID and Lag-Lead Compensator Design using Root Locus
Dynamic Modeling in Process Control
I'll show you how we can build the dynamic models necessary to derive process transfer functions as an introduction to process control.
See MoreDrawing the root locus (Interactive Tool)
This page was developed to help student learn how to sketch the root locus by hand. You can enter a numerator and denominator for G(s)H(s) (i.e., the loop gain) and the program will guide...
See MoreDesigning a Lead Compensator with Root Locus
This video walks through a phase lead compensator example using the Root Locus method.
See MoreEquations of Motion for a Planar Vehicle
In this video we outline equations of motion for a simple planar vehicle. This model is suitable for vehicles such as boats or hovercraft that that are rest...
See MorePosicast Control -3 - ( In English )
In this video a Gantry-Crane control simulation problem is introduced. The problem is presented and some introductory simulations are shown.
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 MoreUnderstanding PID Control, Part 3: Expanding Beyond a Simple Derivative
This video describes how to make an ideal PID controller more robust when controlling real systems that don’t behave like ideal linear models. Noise is generated by sensors and is present in...
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 MoreLectures on Adaptive Control and Learning by Tansel Yucelen
A serie of lectures on the topic of adaptive controllers.
See MoreMachine Learning Goals
This lecture discusses the high-level goals of machine learning, and what we want out of our models. Goals include speed and accuracy, along with interpretability, generalizability...
See MoreThe Routh-Hurwitz Stability Criterion
In this video we explore the Routh Hurwitz Stability Criterion and investigate how it can be applied to control systems engineering. The Routh Hurwitz Stabi...
See MoreNeural Networks and Deep Learning
This lecture explores the recent explosion of interest in neural networks and deep learning in the context of 1) vast and increasing data sets, and 2) rapidly improving computational...
See MoreUnderstanding Sensor Fusion and Tracking, Part 5: How to Track Multiple Obje...
This video describes two common problems that arise when tracking multiple objects: data association and track maintenance. We cover a few ways to solve these issues and provide a general...
See MoreSolving the 1D Heat Equation
In this video we simplify the general heat equation to look at only a single spatial variable, thereby obtaining the 1D heat equation. We solving the result...
See MoreDiscrete control #5: The bilinear transform
This is video number five on discrete control and here, we’re going to cover the famous and useful bilinear transform. The bilinear transform is yet another method for converting, or mapping...
See MoreTime domain - tutorial 11: system properties from impulse response
In this video, we learn how to find system properties from the impulse response. Specifically, memoryless, causal, stable and invertible systems will be ful...
See MoreFourier Series: Part 1
This video will show how to approximate a function with a Fourier series, which is an infinite sum of sines and cosines. We will discuss how these sines and cosines form a basis for the...
See MoreTime domain - tutorial 2: signal representation
In this video, we review how to represent information as a signal. The information can be anything such as voice (1D) or an image (2D) or even a video (3D). ...
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