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LQR and LQG Design in Control Analysis Using Julia - Part 7

JuliaHub via YouTube

Overview

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Learn to design and implement Linear Quadratic Regulator (LQR) controllers and steady-state Kalman filters in this 22-minute video tutorial focused on control analysis using Julia programming language. Master the creation of controller objects, closed-loop transfer functions, and simulation techniques from non-zero initial conditions while exploring the LQGProblem type from RobustAndOptimalControl.jl. Discover practical approaches to designing systems that penalize outputs rather than states, with hands-on demonstrations using ControlSystems.jl and related packages. Gain insights into LQR design, simulation methods, controller systems, closed-loop analysis, and Kalman filter implementation through structured segments covering everything from basic introduction to advanced output penalties. Requires foundational knowledge of control theory and some familiarity with control design software.

Syllabus

Introduction
LQR design
Simulation
Controller system and closed loop
Design Kalman filter LQG controller
Using the LQGProblem type
Analyzing the closed loop
Output penalties

Taught by

JuliaHub

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