
Particle Filter Explained without Equations
This video provides a quick graphical introduction to the particle filter. It does a good job building some intuition behind the filter without ever touching on any mathematics. It's worth a...
See MorePeter Ponders PID- Motor position control
Lecture 17: Introduction to Compensators/Controllers
Inputs and Outputs as defined by a Process Control Engineer
Defining process inputs and outputs is a lot more complicated than I initially thought when I was learning about process control. In this video, I share how ...
See MoreDesigning a Lag Compensator with Bode Plot
This video walks through a phase lag compensator example using the Bode Plot method.
See MoreTransfer Function to State Space
In this video we show how to transform a transfer function to an equivalent state space representation. We will derive various transformations such as contr...
See MoreUnderstanding Model Predictive Control, Part 7: Adaptive MPC Design with Sim...
In this video, you will learn how to design an adaptive MPC controller for an autonomous steering vehicle system whose dynamics change with respect to the longitudinal velocity. After you...
See MoreUnderstanding and Sketching the Root Locus
In this video we discuss how to sketch the root locus for a system by developing a series of 5 core rules augmented by 5 supplemental rules (for a total of 1...
See MoreUnderstanding Sensor Fusion and Tracking, Part 1: What Is Sensor Fusion?
This video provides an overview of what sensor fusion is and how it helps in the design of autonomous systems. It also covers a few scenarios that illustrate the various ways that sensor...
See MoreDeriving Percent Overshoot, Settling Time, and Other Performance Metrics
In this video we examine a second order dynamic system and derive how various performance metrics (such as time to first peak, magnitude at first peak, perce...
See MoreControl Bootcamp: Benefits of Feedback on Cruise Control Example
Here we investigate the benefits of feedback for systems with uncertain dynamics and disturbances, as illustrated on a cruise control example.
See MoreStandard HW Problem #2: Which is the real open loop transfer function?
In this video, we’ll go through another standard homework problem so you can see how you can apply many of the things you’re learning into a single problem. The question is, we have two...
See MoreFinal Value Theorem and Steady State Error
This Final Value Theorem is a way we can determine what value the time domain function approaches at infinity but from the S-domain transfer function. This is very helpful when we're trying...
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 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 MorePeter Ponders PID - LQR Optimizing Two Outputs
Lecture 16: More on Root Locus and Gain Compensation
Bode Stability Criterion in Frequency Response Analysis Intro
The Bode stability criterion allows us to quickly determine the stability and relative stability of a transfer function. It uses a graphical method that can ...
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 MoreLecture 23: Bode plots
Feedforward Control Intro
If we know how a disturbance will affect an output, we can proactively change our manipulated variable to counteract it.
See MoreDirect Synthesis for PID Design Intro
Direct Synthesis for PID Design Intro
See MorePosicast Control 5 - (In English)
In this video Posicast in closed-loop is illustrated using a gantry-crane system simulations.
See MoreControl Systems Lectures - Time and Frequency Domain
This lecture introduces the time and frequency domains. A very quick description of the Laplace Transform is given which will be the base of many of classical control lectures in the future...
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