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商品描述
This book offers a comprehensive introduction to intelligent control system design, using MATLAB simulation to verify typical intelligent controller designs. It also uses real-world case studies that present the results of intelligent controller implementations to illustrate the successful application of the theory. Addressing the need for systematic design approaches to intelligent control system design using neural network and fuzzy-based techniques, the book introduces the concrete design method and MATLAB simulation of intelligent control strategies; offers a catalog of implementable intelligent control design methods for engineering applications; provides advanced intelligent controller design methods and their stability analysis methods; and presents a sample simulation and Matlab program for each intelligent control algorithm.
The main topics addressed are expert control, fuzzy logic control, adaptive fuzzy control, neural network control, adaptive neural control and
intelligent optimization algorithms, providing several engineering application examples for each method.商品描述(中文翻譯)
本書提供了智能控制系統設計的全面介紹，使用 MATLAB 模擬來驗證典型的智能控制器設計。它還利用現實案例研究，展示智能控制器實施的結果，以說明理論的成功應用。針對使用神經網絡和模糊基礎技術進行智能控制系統設計的系統化設計方法的需求，本書介紹了智能控制策略的具體設計方法和 MATLAB 模擬；提供可實施的智能控制設計方法目錄以供工程應用；提供先進的智能控制器設計方法及其穩定性分析方法；並為每個智能控制算法呈現一個示例模擬和 MATLAB 程式。
主要探討的主題包括專家控制、模糊邏輯控制、自適應模糊控制、神經網絡控制、自適應神經控制和智能優化算法，並為每種方法提供幾個工程應用示例。
