Guaranteed Margins for LQR Regulators

John Doyle's famous paper! He presents a counterexample that shows that are no guaranteed margins for LQG systems. 

MATLAB Function: phased.MVDRBeamformer

The phased.MVDRBeamformer System object™ implements a narrowband minimum-variance distortionless-response (MVDR) beamformer. The MVDR beamformer is also called the Capon beamformer. An MVDR...

Using the Reinforcement Learning Toolbox™ to Balance an Inverted Pendulum

Reinforcement learning (RL) is a subset of Machine Learning that uses dynamic data, not static data like unsupervised learning or supervised learning. Reinforcement learning is used in many...

MATLAB Function: ztrans

ztrans(f) finds the Z-Transform of f. By default, the independent variable is n and the transformation variable is z. If f does not contain n, ztrans uses symvar. 

MATLAB Example: Solve Constrained Nonlinear Optimization, Problem-Based

This example shows how to find the minimum of a nonlinear objective function with a nonlinear constraint by using the problem-based approach. 

Twitter Thread: Vibrational control of mechanical systems

This Twitter thread by @ahmedallibhoy walks through an explanation of controlling an inverted pendulum with an open-loop vibrational controller. 

i-pIDtune: An interactive tool for integrated system identification and PID ...

i-pIDtune is an interactive software tool that integrates system identification and PID controller design. The tool supports experimental design and execution under plant-friendly conditions...

Road Sign Detection using Transfer Learning on RetinaNet

This blog outlines a number of open-source resources for transfer learning that are worthy of exploring, ands show the result of using transfer learning on RetinaNet to develop a road sign...

How I put the Google Maps Algorithm on my Autonomous Drone

This fully autonomous drone has an onboard computer ‘brain’, camera ‘eyes’, and an algorithm that generates the fastest path around unknown obstacles as they’re detected mid-flight. Let’s...

Data based modeling of nonlinear dynamic systems using System Identification...

Using an engine throttle valve modeling example, this demo shares some perspectives on creation of nonlinear models of dynamic systems from the measurements of its input and outputs. It...

Simultaneous Range and Speed Estimation Using MFSK Waveform

This MATLAB example compares triangle sweep frequency-modulated continuous (FMCW) and multiple frequency-shift keying (MFSK) waveforms used for simultaneous range and speed estimation for...

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...

Interactive Tool about control signal saturation (windup) with PID control

The purpose of this module is to give a familiarity with the phenomenon of integral windup and a method for avoiding it. The module shows process outputs and control signals for unlimited...

Understanding P, I, and D

Understanding what the proportional, integral, and derivative terms do within the PID controller is essential to choose appropriate action, trouble shoot controllers, chose appropriate...

Toys for Control Education

Teaching materials for control engineering education that run in web browsers. Speed control, position control, step response of 2nd order system, pole and impulse response, and rocket.

Ratio Control and Scaled Signal Calculations

When and how to use Ratio Control and use Scaled Signals

Two Tank System: C MEX-File Modeling of Time-Continuous SISO System

This MATLAB example shows how to perform IDNLGREY modeling based on C MEX model files. It uses a simple system where nonlinear state space modeling really pays off.

Use First-Principles Modeling to Get FOPDT Coefficient Values

Conventionally, we obtain model coefficient values by open-loop step-testing of the process; but this creates undesirable process upsets, and only reveals the local process behavior.  This...

Feedforward Control

When a Ratio Control strategy takes action too soon, use Feedforward to temper the dynamics.  When a disturbance can be measured, but would not be a ratio of the control output use...

Learning Dynamic Systems & Control Engineering with a Video Game

Engineering Students at Northern Illinois University are learning one of their core subjects, Dynamic Systems & Control, with the aid of a video game.

Adaptive Control (Part II) —Modeling the X-15’s Adaptive Flight Control Syst...

This blog post shows how to build from scratch a Simulink model of the famous MH-96, the X-15's Adaptive Flight Control System

Why 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...

MATLAB Command: resid

This MATLAB command is part of the system identification toolbox and provides a way to compute and test residuals.

Multifunction Phased Array Radar (MPAR) for Aircraft and Weather Surveillanc...

MIT Lincoln Laboratory and M/A-COM are jointly conducting a technology demonstration of affordable Multifunction Phased Array Radar (MPAR) technology for Next Generation air traffic control...

Min IAE Tuning

Procedure and Commentary on tuning for minimum Integral of the Absolute Error