MODEL PREDICTIVE CONTROL (MPC) CONTROL BASED ON THE QUASI-MIN-MAX ALGORITHM WITH RELAXATION IN LMIS
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Updated
Aug 12, 2022 - MATLAB
MODEL PREDICTIVE CONTROL (MPC) CONTROL BASED ON THE QUASI-MIN-MAX ALGORITHM WITH RELAXATION IN LMIS
A set of m-files that hopefully implements the ideas given in (Lu, Li et al. 2013)
Matlab implementation of the "MIMO PID tuning via iterated LMI restiction" by Boyd, Hast, and Astrom
Syntax for using YALMIP toolbox for control system design.
Robust control with an anti-windup technique based in relaxed LMI conditions for LTV system
Linear Matrix Inequality and Control (with youtube movie)
This repository contains some of the codes developed during the course on Analysis and Control of Linear Systems via Linear Matrix Inequalities (LMIs) Optimization (2022.1) - Master's Program in Electrical Engineering - Federal University of Ceara.
The Project involves 3 typical convex optimization problems in control and the SDP (Semi-definite Programming) form or in other words the LMI (Linear Matrix Inequalities) form of each problem is achieved analytically and then the SDP optimization problems are solved in MATLAB using MATLAB CVX toolbox.
Code for the paper "A Decomposition Approach to Multi-Agent Systems with Bernoulli Packet Loss" by C. Hespe, H. Saadabadi, A. Datar, H. Werner and Y. Tang
IQC Based Analysis and Estimator Design for Discrete-Time Systems Affected by Impulsive Uncertainties
via lifting
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