
Type
Experience
Scope
Multi-Agent Reinforcement Learning: Independent vs Cooperative Agents
From the Abstract:
Intelligent human agents exist in a cooperative social environment that facilitates learning. They learn not only by trialand -error, but also through cooperation by...
See MoreAutomotive Adaptive Cruise Control Using FMCW Technology
This MATLAB example shows how to model an automotive adaptive cruise control system using the frequency modulated continuous wave (FMCW) technique. This example performs range and Doppler...
See MorePython Control Systems Library
The python-control package is a set of python classes and functions that implement common operations for the analysis and design of feedback control systems. The initial goal is to implement...
See MoreInteractive Tool for Loop Shaping understanding based on PID control
Loop shaping is a design method where it is attempted to choose a controller such that the loop transfer function obtains the desired shape. In this module the loop transfer function is...
See MorePulse Waveform Analyzer App
The Pulse Waveform Analyzer app lets you explore the properties of signals commonly used in radar. You can display 2-D and 3-D plots that let you visualize waveform time series and spectra.
... See MoreSuspending a pendulum in its inverted position using a jig saw (Take 1, norm...
When a pendulum is attached to a jig saw, strange things can happen! :)
See MoreRatio Control and Scaled Signal Calculations
When and how to use Ratio Control and use Scaled Signals
See MoreWhy the Riccati Equation Is important for LQR Control
This Tech Talk looks at an optimal controller called linear quadratic regulator, or LQR, and shows why the Riccati equation plays such an important role in solving it efficiently. The talk...
See MorePole Placement for the Inverted Pendulum on a Cart [Control Bootcamp]
Here we use the 'place' command in Matlab to design full-state feedback gains to specify the eigenvalues of the closed-loop system. This is demonstrated on the inverted pendulum on a cart.
See MoreUnderstanding Valve Flow Characteristics
The response of flow rate through a control valve depends on the friction losses in the piping in which it is installed as well as the controller signal. The installed characteristic (a...
See MoreControl Loop Foundation Batch and Continuous Processes - Interactive Source ...
Control Loop Foundation contains workshops that allow the reader to get hands on experience through this web interface. Once a lab is selected, then you may access workshop directions and...
See MorePID Explained
A qualitative explanation of P, I, & D actions using graphs.
See MoreComputing Euler Angles: Tracking Attitude Using Quaternions
In this video we continue our discussion on how to track the attitude of a body in space using quaternions. The quaternion method is similar to the Euler Ki...
See MoreUnderstanding Control Systems (Playlist)
Learn the basic concepts behind controls systems. Walk through everyday examples that outline fundamental ideas, and explore open-loop and feedback control systems. These videos explore open...
See MoreSystem Identification: Full-State Models with Control
This lecture provides an overview of modern data-driven regression methods for linear and nonlinear system identification, based on the dynamic mode decomposition (DMD), Koopman theory, and...
See MoreMATLAB Documentation page: nlarx command
This is the Mathworks documentation page for the nlarx MATLAB command.
See MoreModel Reference Adaptive Control Part-1
Video course on nonlinear and adaptive control by Dr. Shubhendu Bhasin, Department of Electrical Engineering, IIT Delhi.
See MoreAutonomous Navigation, Part 6: Metrics for System Assessment
Take a systems engineering approach to verifying the autonomous navigation system end to end and learn how simulations and physical tests can complement each other. The video also covers a...
See MoreFull Stack Deep Learning
There are many great courses to learn how to train deep neural networks. However, training the model is just one part of shipping a deep learning project. This course teaches full-stack...
See MoreWind 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...
See MoreProjectile Motion Equations and Theory
In this video, an important topic under 2D Kinematics i.e. Projectile Motion, is covered. Its theory, equations, and examples are thoroughly discussed.
See MoreIntegral Wind-Up and Solution
What is integral wind-up and how velocity mode solves it.
See MoreVirtual Lab for a Two-tanks system
This is a virtual lab for a two-tank system that can be used for modelling and control learing/teaching purposes. Open-loop tests and closed-loop simulatons based on PI control or PI plus...
See MoreAveraging Methods in Nonlinear Dynamical Systems
Perturbation theory and in particular normal form theory has shown strong growth during the last decades. So it is not surprising that the authors have presented an extensive revision of the...
See MoreImprove SNR and Capacity of Wireless Communication Using Antenna Arrays
The goal of a wireless communication system is to serve as many users with the highest possible data rate given constraints such as radiation power limit and operating budget. To improve the...
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