000			04114cam a2200553Ki 4500
001			9781003143444
003			FlBoTFG
005			20240213122825.0
006			m o d
007			cr cnu|||unuuu
008			211007s2021 xx o 000 0 eng d
040			_aOCoLC-P _beng _erda _epn _cOCoLC-P
020			_a9781003143444 _q(electronic bk.)
020			_a100314344X _q(electronic bk.)
020			_z9780367697303
020			_a9781000519587 _q(electronic bk. : PDF)
020			_a1000519589 _q(electronic bk. : PDF)
020			_z9780367698287
020			_a9781000519631 _q(electronic bk. : EPUB)
020			_a1000519635 _q(electronic bk. : EPUB)
035			_a(OCoLC)1273727183
035			_a(OCoLC-P)1273727183
050		4	_aTJ223.P76
072		7	_aTEC _x007000 _2bisacsh
072		7	_aTEC _x009000 _2bisacsh
072		7	_aTEC _x037000 _2bisacsh
072		7	_aTJFM _2bicssc
082	0	4	_a629.8/95 _223/eng/20211027
100	1		_aPrecup, Radu-Emil, _d1963- _eauthor.
245	1	0	_aData-driven model-free controllers / _cRadu-Emil Precup, Raul-Cristian Roman, Ali Safaei.
250			_aFirst edition.
264		1	_a[Place of publication not identified] : _bCRC Press, _c2021.
300			_a1 online resource (392 pages).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_a1. Introduction.2. Iterative Feedback Tuning. 3. Intelligent PID Controllers. 4. Model-Free Sliding Mode Controllers. 5. Model-Free Adaptive Controllers. 6. Hybrid Model-Free and Model-Free Adaptive Virtual Reference Feedback Tuning controllers.7. Hybrid model-free and model-free adaptive fuzzy controllers. 8. Cooperative Model-Free Adaptive Controllers for Multi-Agent Systems. Appendix 1. Simulation resutls for implementation of Model-Free Adaptive Controller on a differential-drive ground mobile robot.
520			_aThis book categorizes the wide area of data-driven model-free controllers, reveals the exact benefits of such controllers, gives the in-depth theory and mathematical proofs behind them, and finally discusses their applications. Each chapter includes a section for presenting the theory and mathematical definitions of one of the above mentioned algorithms. The second section of each chapter is dedicated to the examples and applications of the corresponding control algorithms in practical engineering problems. This book proposes to avoid complex mathematical equations, being generic as it includes several types of data-driven model-free controllers, such as Iterative Feedback Tuning controllers, Model-Free Controllers (intelligent PID controllers), Model-Free Adaptive Controllers, model-free sliding mode controllers, hybrid model⁰́₀free and model⁰́₀free adaptive⁰́₀Virtual Reference Feedback Tuning controllers, hybrid model-free and model-free adaptive fuzzy controllers and cooperative model-free controllers. The book includes the topic of optimal model-free controllers, as well. The optimal tuning of model-free controllers is treated in the chapters that deal with Iterative Feedback Tuning and Virtual Reference Feedback Tuning. Moreover, the extension of some model-free control algorithms to the consensus and formation-tracking problem of multi-agent dynamic systems is provided. This book can be considered as a textbook for undergraduate and postgraduate students, as well as a professional reference for industrial and academic researchers, attracting the readers from both industry and academia.
588			_aOCLC-licensed vendor bibliographic record.
650		7	_aTECHNOLOGY / Electricity _2bisacsh
650		7	_aTECHNOLOGY / Engineering / General _2bisacsh
650		7	_aTECHNOLOGY / Robotics _2bisacsh
650		0	_aProgrammable controllers.
650		0	_aAutomatic control.
700	1		_aRoman, Raul-Cristian, _eauthor.
700	1		_aSafaei, Ali, _eauthor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003143444
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c4879 _d4879