Intelligent Control Design and MATLAB Simulation
Liu, Jinkun
Intelligent Control Design and MATLAB Simulation by Jinkun Liu. - 1 recurso en línea (XV, 290 páginas 137 ilustraciones, 95 ilustraciones a color) - Engineering (Springer-11647) .
Introduction -- Expert control -- Mathmatic foundation of fuzzy control -- Fuzzy logic control -- Adaptive fuzzy control -- Neural Network -- Typical Neural Network -- Senior Neural Network -- Neural network control with gradient descend -- Adaptive neural network control -- Digital RBF Neural Network Control -- Intelligent optimization algorithms -- Iterative learning control.
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 contro l and intelligent optimization algorithms, providing several engineering application examples for each method.
9789811052637
10.1007/978-981-10-5263-7 doi
Sistemas de control inteligente
Ingeniería industrial
TJ217.5 / L585 2018 EB
Intelligent Control Design and MATLAB Simulation by Jinkun Liu. - 1 recurso en línea (XV, 290 páginas 137 ilustraciones, 95 ilustraciones a color) - Engineering (Springer-11647) .
Introduction -- Expert control -- Mathmatic foundation of fuzzy control -- Fuzzy logic control -- Adaptive fuzzy control -- Neural Network -- Typical Neural Network -- Senior Neural Network -- Neural network control with gradient descend -- Adaptive neural network control -- Digital RBF Neural Network Control -- Intelligent optimization algorithms -- Iterative learning control.
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 contro l and intelligent optimization algorithms, providing several engineering application examples for each method.
9789811052637
10.1007/978-981-10-5263-7 doi
Sistemas de control inteligente
Ingeniería industrial
TJ217.5 / L585 2018 EB