Automatic Updates of Transition Potential Matrices in Dempster-Shafer Networ...

Journal article that develops an evidential reasoning network capable of learning/updating the relationships between Frames of Discernment (the sets over which Dempster-Shafer reasons that...

See More

Control Bootcamp: Sensitivity and Complementary Sensitivity

Here we explore the sensitivity and complementary sensitivity functions, which are critical in understanding robustness and performance.

See More

Controllability and the PBH Test [Control Bootcamp]

This video describes the PBH test for controllability and describes some of the implications for good choices of "B".

See More

Building a Matlab/Simulink Model of an Aircraft: the Research Civil Aircraft...

In this video we implement the RCAM model as a Matlab script that is called from a Simulink model. The result is a fully encapsulated Simulink model of a no...

See More

Randomized Singular Value Decomposition (SVD)

This video describes how to use recent techniques in randomized linear algebra to efficiently compute the singular value decomposition (SVD) for extremely large matrices.

See More

Identifying Dominant Balance Physics from Data - Jared Callaham

This video illustrates a new algorithm to identify local dominant physical balance relations from multiscale spatiotemporal data.

See More

Data-Driven Control: Balancing Transformation

In this lecture, we derive the balancing coordinate transformation that makes the controllability and observability Gramians equal and diagonal. This is the critical step in balanced model...

See More

Introduction to Full State Feedback Control

In this video we introduce the concept of a full state feedback controller. We discuss how to use this system to place the eigenvalues of the closed loop sys...

See More

SVD: Eigenfaces 3 [Matlab]

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

See More

NASA's General Mission Analysis Tool (GMAT)

NASA's GMAT is the worlds only enterprise, multi-mission, open source software system for space mission design, optimization, and navigation. The system supports missions in flight regimes...

See More

SVD: Importance of Alignment [Matlab]

This video describes the importance of aligning data when using the singular value decomposition (SVD) (Matlab code).

See More

Stanford CS229: Machine Learning | Autumn 2018

Autumn 2018 Stanford course on machine learning by Andrew Ng.

See More

Sliding Mode Control Design for a Robotic Manipulator

This MATLAB/Simulink example shows how to design a controller for a robotic manipulator with two actuated joints using sliding mode control (SMC). SMC is useful for systems that require...

See More

Derivation of Rodrigues’ Rotation Formula

In this video we explain and derive Rodrigues’ Rotation Formula. This functions describes how to rotate an arbitrary vector about another arbitrary axis of ...

See More

Linear Regression 2 [Python]

This video describes how the singular value decomposition (SVD) can be used for linear regression in Python (part 2).

See More

Posicast Control - 1 ( In English)

This video is an introduction to a learning journey about Posicast Control structured as follows: - Preface - Motivation - Introduction to Posicast Control - Half-Cycle Posicast

See More

Control 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 More

Machine Learning Control: Tuning a PID Controller with Genetic Algorithms

This lecture shows how to use genetic algorithms to tune the parameters of a PID controller. Tuning a PID controller with genetic algorithms is not generally recommended, but is used to...

See More

Peter Ponders PID - Yet Another Linear Quadratic Control Video but...

This videos covers topics not found or hard to find in control books or other videos.This video converts tracking position, velocity and acceleration for a m... See More

Manipulating Aerodynamic Coefficients

In this video we discuss some potential problems you may encounter when attempting to perform operations with dimensionless aerodynamic coefficients such as CL and CD.

See More

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 More

Basic Control Lectures

Systems approach, understanding and describing the operation of systems and methods of controlling them are among the basic knowledge of engineering education. But understanding the main...

See More

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 ...

See More

Understanding 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 More

Peter Ponders PID - Controlling non-integrating single pole system. Part 1 ...

Part 1 shows why P only control shouldn't be used because the set point or target is never reached.Part 2 shows why I only control shouldn't be used because ...

See More