Equations 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...

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Peter Ponders PID - InputShaping

Input shaping is used by cranes and other applications where a load that vibrates or swings needs to be moved into position without vibrating or oscillating ... See More

Principal Component Analysis (PCA) [Matlab]

This video describes how the singular value decomposition (SVD) can be used for principal component analysis (PCA) in Matlab.

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A Nonlinear, 6 DOF Dynamic Model of an Aircraft: the Research Civil Aircraft...

In this video we develop a dynamic model of an aircraft by describing forces and moments generated by aerodynamic, propulsion, and gravity that act on the ai...

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Transfer 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...

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Peter Ponders PID - Root Locus Is Useless

Root Locus is almost worthless. Knowing where the poles are as only 1 gain is changed is not very useful since one only has a limited choices on response. ... See More

Solving the Heat Equation with the Fourier Transform

This video describes how the Fourier Transform can be used to solve the heat equation. In fact, the Fourier transform is a change of coordinates into the eigenvector coordinates for the...

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Controllability of a Linear System: The Controllability Matrix and the PBH T...

In this video we explore controllability of a linear system. We discuss two methods to test for controllability, the controllability matrix as well as the P...

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Introduction 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...

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Understanding Sensor Fusion and Tracking, Part 4: Tracking a Single Object W...

This video describes how we can improve tracking a single object by estimating state with an interacting multiple model filter. We will build up some intuition about the IMM filter and show...

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Lecture 5: Block Diagram Reduction

Reduction of block diagrams sing block diagram algebra is discussed in this video See More

DC Gain

In this video we discuss the DC gain of a dynamic system.Topics and time stamps:(0:12) – Introduction to DC gain(7:04) – Derivation of DC gain(11:49) – Relat...

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Time domain - tutorial 4: transformation examples

In this video, we solve examples to practice different signal transformations using a systematic approach. By the end of this lecture, you should be able to ...

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Randomized SVD Code [Matlab]

This video describes the randomized singular value decomposition (rSVD) (Matlab code).

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Lecture 15: Root Locus

This video discusses about the concept of root locus. Rules for sketching Root locus are also laid out. The concept have been explained with 2 examples. If y... See More

Laplace 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...

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SVD: Eigenfaces 3 [Python]

This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Python code, part 3).

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Lecture 1 Introduction to Automatic Control

This video gives an introduction to control systems. Open loop and closed loop control systems have been explained See More

RL Course by David Silver - Lecture 1: Introduction to Reinforcement Learnin...

Introduces reinforcment learning (RL), an overview of agents and some classic RL problems.

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RL Course by David Silver - Lecture 6: Value Function Approximation

A deep dive into incremental methods and batch methods of value function approximation.

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Linear Regression 3 [Python]

This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 3).

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Internal Model Control Example Problem

I walk through how to design a feedback controller based on a given process transfer function, using Internal Model Control.

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Data-Driven Control: Balanced Truncation

In this lecture, we describe the balanced truncation procedure for model reduction, where a handful of the most controllable and observable state directions are kept for the reduced-order...

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Direct Synthesis Method Numerator Dynamics Problem

I walk through how to design a PID feedback controller when given a second order process with numerator dynamics, using the Direct Synthesis Method.

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The Navigation Equations: Computing Position North, East, and Down

In this video we show how to compute the inertial velocity of a rigid body in the vehicle-carried North, East, Down (NED) frame. This is achieved by rotating the velocity expressed in the...

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