000 03163cam a2200505M 4500
001 9781351170802
003 FlBoTFG
005 20220711212858.0
006 m o d
007 cr |n|||||||||
008 190719s2019 xx o 000 0 eng d
040 _aOCoLC-P
_beng
_cOCoLC-P
020 _a9781351170796
_q(electronic bk.)
020 _a1351170791
_q(electronic bk.)
020 _a9781351170802
_q(electronic bk.)
020 _a1351170805
_q(electronic bk.)
020 _a9781351170789
_q(electronic bk. : EPUB)
020 _a1351170783
_q(electronic bk. : EPUB)
020 _a9781351170772
_q(electronic bk. : Mobipocket)
020 _a1351170775
_q(electronic bk. : Mobipocket)
020 _z0815346301
020 _z9780815346302
035 _a(OCoLC)1108919796
035 _a(OCoLC-P)1108919796
050 4 _aTJ213
072 7 _aTEC
_x007000
_2bisacsh
072 7 _aTEC
_x009070
_2bisacsh
072 7 _aTHRB
_2bicssc
082 0 4 _a629.8
_223
100 1 _aRaol, J. R.
_q(Jitendra R.),
_d1947-
_eauthor.
_920414
245 1 0 _aCONTROL SYSTEMS
_h[electronic resource] :
_bclassical, modern, and intelligent approaches.
260 _a[S.l.] :
_bCRC PRESS,
_c2019.
300 _a1 online resource
520 _aControl Systems: Classical, Modern, and AI-Based Approaches provides a broad and comprehensive study of the principles, mathematics, and applications for those studying basic control in mechanical, electrical, aerospace, and other engineering disciplines. The text builds a strong mathematical foundation of control theory of linear, nonlinear, optimal, model predictive, robust, digital, and adaptive control systems, and it addresses applications in several emerging areas, such as aircraft, electro-mechanical, and some nonengineering systems: DC motor control, steel beam thickness control, drum boiler, motional control system, chemical reactor, head-disk assembly, pitch control of an aircraft, yaw-damper control, helicopter control, and tidal power control. Decentralized control, game-theoretic control, and control of hybrid systems are discussed. Also, control systems based on artificial neural networks, fuzzy logic, and genetic algorithms, termed as AI-based systems are studied and analyzed with applications such as auto-landing aircraft, industrial process control, active suspension system, fuzzy gain scheduling, PID control, and adaptive neuro control. Numerical coverage with MATLAB is integrated, and numerous examples and exercises are included for each chapter. Associated MATLAB code will be made available.
588 _aOCLC-licensed vendor bibliographic record.
650 7 _aTECHNOLOGY / Electricity
_2bisacsh
_920415
650 7 _aTECHNOLOGY / Engineering / Mechanical
_2bisacsh
_920416
630 0 0 _aMATLAB.
_93506
650 0 _aAutomatic control.
_93672
650 0 _aAutomatic control
_xMathematical models.
_97898
650 0 _aControl theory
_xComputer programs.
_920417
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781351170802
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942 _cEBK
999 _c72375
_d72375