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020 _a9789811052637
_9978-981-10-5263-7
024 7 _a10.1007/978-981-10-5263-7
_2doi
050 4 _aTJ212-225
050 4 _aTJ210.2-211.495
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
072 7 _aTJFM
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082 0 4 _a629.8
_223
100 1 _aLiu, Jinkun.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_955340
245 1 0 _aIntelligent Control Design and MATLAB Simulation
_h[electronic resource] /
_cby Jinkun Liu.
250 _a1st ed. 2018.
264 1 _aSingapore :
_bSpringer Nature Singapore :
_bImprint: Springer,
_c2018.
300 _aXV, 290 p. 137 illus., 95 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- 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.
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 contro l and intelligent optimization algorithms, providing several engineering application examples for each method.
650 0 _aControl engineering.
_931970
650 0 _aRobotics.
_92393
650 0 _aAutomation.
_92392
650 0 _aComputer simulation.
_95106
650 0 _aIndustrial engineering.
_931641
650 0 _aProduction engineering.
_93683
650 0 _aEngineering design.
_93802
650 1 4 _aControl, Robotics, Automation.
_931971
650 2 4 _aComputer Modelling.
_955341
650 2 4 _aIndustrial and Production Engineering.
_931644
650 2 4 _aEngineering Design.
_93802
710 2 _aSpringerLink (Online service)
_955342
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9789811052620
776 0 8 _iPrinted edition:
_z9789811052644
776 0 8 _iPrinted edition:
_z9789811353543
856 4 0 _uhttps://doi.org/10.1007/978-981-10-5263-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79536
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