000			01662 a2200217 4500
005			20180119105240.0
008			180119b xxu||||| |||| 00| 0 eng d
020			_a9789811052620
040			_cIIT Kanpur
041			_aeng
082			_a629.8 _bL74i
100			_aJinkun, Liu
245			_aIntelligent control design and MATLAB simulation _cLiu Jinkun
260			_bSpringer _c2018 _aSingapore
300			_axv, 290p
520			_aThis 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.
650			_aIntelligent control systems
650			_aSystem theory
650			_aMATLAB -- Simulation
942			_cBK
999			_c558415 _d558415