Multi-agent reinforcement learning: An overview

From the abstract:

Multi-agent systems can be used to address problems in a variety of do- mains, including robotics, distributed control, telecommunications, and economics. The complexity...

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The Kalman Filter [Control Bootcamp]

Here, we discuss the Kalman Filter, which is an optimal full-state estimator, given Gaussian white noise disturbances and measurement noise.

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Introduction to Anomaly Detection for Engineers

Anomaly detection is the process of identifying events or patterns that differ from expected behavior. This is important for applications like predictive maintenance but can be hard to...

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Wind Tunnel Testing: Introduction and Data Acquisition

This is the first of our 3 part series on wind tunnel testing. In this video, we introduce the concept of wind tunnel testing as well as discuss the process for acquiring aerodynamic data in...

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My Sole Advise to Data Scientists on Coursera & Quora

This blog post by Tarry Singh answers questions including "How do I get started in the field on Machine Learning, Deep Learning or Artificial Intelligence" and "How do I advance from the...

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Machine Learning: What is easy, medium, and hard?

This video gives a brief overview of what is easy, medium, and hard in machine learning, explored through case studies. Progress in machine learning is rapidly advancing, and changing the...

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Control Bootcamp: Overview

Overview lecture for bootcamp on optimal and modern control. In this lecture, we discuss the various types of control and the benefits of closed-loop feedback control.

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Process Dynamics and Control Course

This course focuses on a complete start to finish process of physics-based modeling, data driven methods, and controller design. Although some knowledge of computer programming is required...

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Control Bootcamp: Introduction to Robust Control

This video motivates robust control with the famous 1978 paper by John Doyle, titled "Guaranteed Margins for LQG Regulators"... Abstract: There are none.

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Measuring Angles with FMCW Radar | Understanding Radar Principles

Learn how multiple antennas are used to determine the azimuth and elevation of an object using Frequency Modulated Continuous Wave (FMCW) radar.

By looking at the phase shift between the...

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Model Reference Adaptive Control Fundamentals (Dr. Tansel Yucelen)

Forum on Robotics & Control Engineering (FoRCE, http://force.eng.usf.edu/) Seminar Series: "Model Reference Adaptive Control Fundamentals" (Dr. Tansel Yucelen)

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Feedforward tuning rules for measurable disturbances with PID control: a tut...

Feedforward control can be considered as the most well-known control approach to deal with measurable disturbances. It started to be used almost 100 years ago, and since then it is being...

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Autonomous Navigation, Part 1: What is Autonomous Navigation?

Navigation is the ability to determine your location within an environment and to be able to figure out a path that will take you to a goal. This video provides an overview of how we get a...

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Automotive Radar MATLAB Documentation and Examples

MATLAB documentation and examples for probabilistic and physics-based radar sensor models, simulation of MIMO antennas, waveforms, I/Q radar signals, micro-Doppler signatures, detections...

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How Antennas Work

Antennas constitute as a major component in various communication systems, signal transmission and many others. It is important to understand how they work and create propagating waves in...

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Converting Constrained Optimization to Unconstrained Optimization Using the ...

In this video we show how to convert a constrained optimization problem into an approximately equivalent unconstrained optimization problem using the penalty...

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Interactive Course for Control Theory

Control Theory is a topic that finds a widespread application throughout engineering and natural sciences. It is very common in electrical, mechanical and process engineering. Especially...

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A Tutorial on PES Pareto Methods for Analysis of Noise Propagation in Feedba...

This is the recorded talk of the paper by the same title.

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Control Bootcamp: Cautionary Tale About Inverting the Plant Dynamics

Here we show an example of why it can be a very bad idea to invert some plant dynamics, for example with unstable eigenvalues, for loop shaping.

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Lectures on Modelling and Control of Dynamic Systems (French)

Lectures on Modelling and Control of Dynamic Systems from Patrick Lanusse of Bordeaux INP, France.

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Solving the 2D Wave Equation

In this video, we solve the 2D wave equation. We utilize two successive separation of variables to solve this partial differential equation. Topics discuss...

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Trimming a Model of a Dynamic System Using Numerical Optimization

In this video we show how to find a trim point of a dynamic system using numerical optimization techniques. We generate a cost function that corresponds to a straight and level flight...

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PID Control with Posicast, 9 - (In English)

This is part III of PID control with Posicast

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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

Koopman Spectral Analysis (Multiscale systems)

In this video, we discuss recent applications of data-driven Koopman theory to multi-scale systems.

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