000 | 03506nam a22005895i 4500 | ||
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001 | 978-981-10-5263-7 | ||
003 | DE-He213 | ||
005 | 20220801221322.0 | ||
007 | cr nn 008mamaa | ||
008 | 170921s2018 si | s |||| 0|eng d | ||
020 |
_a9789811052637 _9978-981-10-5263-7 |
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024 | 7 |
_a10.1007/978-981-10-5263-7 _2doi |
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050 | 4 | _aTJ212-225 | |
050 | 4 | _aTJ210.2-211.495 | |
072 | 7 |
_aTJFM _2bicssc |
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072 | 7 |
_aTEC004000 _2bisacsh |
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_aTJFM _2thema |
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_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. |
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300 |
_aXV, 290 p. 137 illus., 95 illus. in color. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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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 |
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650 | 0 |
_aRobotics. _92393 |
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650 | 0 |
_aAutomation. _92392 |
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650 | 0 |
_aComputer simulation. _95106 |
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650 | 0 |
_aIndustrial engineering. _931641 |
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650 | 0 |
_aProduction engineering. _93683 |
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650 | 0 |
_aEngineering design. _93802 |
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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 |
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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 _d79536 |