Adaptive Control Major Project: Model Reference and Minimum Variance Control with MATLAB/Simulink Implementation

This document presents my comprehensive adaptive control project featuring Model Reference Adaptive Control (MRAC) with Simulink simulations and Minimum Variance Adaptive Control for CARMA models. The project includes detailed Simulink block diagrams, MATLAB code implementations with algorithm explanations, thorough technical analysis, and well-organized graphical results. It serves as a valuable resource for students and researchers studying adaptive control systems.

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MATLAB Simulation of System Identification and Adaptive Control (Revised Edition)

This revised edition provides a comprehensive MATLAB simulation-based exploration of fundamental theories and methods in system identification and adaptive control. The book comprises six chapters covering: Introduction, System Identification, Model Reference Adaptive Control, Self-tuning Control (including Generalized Predictive Control), Conventional Control Strategy-based Self-tuning Control, and Nonlinear System Identification and Control (including Neural Networks and Fuzzy Control). Each algorithm is accompanied by practical simulation examples, complete MATLAB code implementations, simulation results, and concise analyses to facilitate deeper understanding and application of core theories and algorithms.

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Synchronization Control on Complex Networks

Synchronization control implementation for complex networks using adaptive control methods, specifically designed for achieving synchronization in small-world networks with code-level parameter adaptation algorithms.

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MATLAB Examples for Adaptive Control with Implementation Demonstrations

A collection of MATLAB examples illustrating adaptive control implementations, including fuzzy control comparisons and various algorithm types such as model reference adaptive control and adaptive sliding mode control

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Implementation of Adaptive Control Using Model Reference Approach

Implementation of adaptive control using model reference methodology with Lyapunov stability theory for parameter adaptation design

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MATLAB Implementation of Adaptive Control with Recursive Least Squares Parameter Estimation

Adaptive control and self-tuning system parameter estimation using MATLAB, featuring recursive least squares algorithm for real-time parameter identification and automatic controller adjustment

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Fuzzy Neural Network Code for Adaptive Control

Implementation of fuzzy neural network code for adaptive control systems, featuring error and error derivative as critical input parameters.

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Adaptive Control and Synchronization of Coupled Generator Systems

Adaptive control and synchronization methods for coupled generator systems, along with chaos control implementation in deformed coupled generator systems

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Single Neuron PID Model Reference Adaptive Control Based on RBF Neural Network Identification

Single Neuron PID Model Reference Adaptive Control Using RBF Neural Network Identification - An Advanced Control Strategy Combining Neural Network Identification and Adaptive PID Control

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System Identification and Adaptive Control - Recursive Least Squares Parameter Estimation for MIMO Systems

System Identification and Adaptive Control - Recursive Least Squares Parameter Estimation for MIMO Systems (This program is designed for 2-input 2-output systems with implementation of RLS algorithm and real-time parameter updating)

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