Liu, Jinkun.
Intelligent Control Design and MATLAB Simulation [electronic resource] / by Jinkun Liu. - 1st ed. 2018. - XV, 290 p. 137 illus., 95 illus. in color. online resource.
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
Control engineering.
Robotics.
Automation.
Computer simulation.
Industrial engineering.
Production engineering.
Engineering design.
Control, Robotics, Automation.
Computer Modelling.
Industrial and Production Engineering.
Engineering Design.
TJ212-225 TJ210.2-211.495
629.8
Intelligent Control Design and MATLAB Simulation [electronic resource] / by Jinkun Liu. - 1st ed. 2018. - XV, 290 p. 137 illus., 95 illus. in color. online resource.
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
Control engineering.
Robotics.
Automation.
Computer simulation.
Industrial engineering.
Production engineering.
Engineering design.
Control, Robotics, Automation.
Computer Modelling.
Industrial and Production Engineering.
Engineering Design.
TJ212-225 TJ210.2-211.495
629.8