000			03205cam a2200469M 4500
001			9781003490913
003			FlBoTFG
005			20251030122254.0
006			m o d
007			cr |n|||||||||
008			241010s2025 xx o 0|| 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781040134672 _q(electronic bk.)
020			_a104013467X _q(electronic bk.)
020			_a9781003490913 _q(electronic bk.)
020			_a1003490913 _q(electronic bk.)
020			_a9781040134696 _q(electronic bk. : EPUB)
020			_a1040134696 _q(electronic bk. : EPUB)
020			_z103279190X
020			_z9781032791906
024	7		_a10.1201/9781003490913 _2doi
035			_a(OCoLC)1459687516
035			_a(OCoLC-P)1459687516
050		4	_aTK1001
072		7	_aTEC _x000000 _2bisacsh
072		7	_aTEC _x031020 _2bisacsh
072		7	_aTEC _x031010 _2bisacsh
072		7	_aTHRB _2bicssc
245	0	0	_aINTELLIGENT CONTROL FOR ELECTRIC POWER SYSTEMS AND ELECTRIC VEHICLES _h[electronic resource].
260			_a[S.l.] : _bCRC PRESS, _c2025.
300			_a1 online resource
520			_aThe present monograph offers a detailed and in-depth analysis of the topic of Intelligent Control for Electric Power Systems and Electric Vehicles. The monograph provides a comprehensive analysis of various control methods, including nonlinear optimal control, Lie algebra-based control, and differential flatness theory. It addresses the control of electric motors, VSI-fed PMSMs, and energy conversion chains based on PMSMs and induction machines. The work also explores multi-phase machines in gas processing, spherical permanent magnet synchronous motors, traction systems in electric and hybrid vehicles, and renewable power units alongside heat management systems. Key Features: Proposes new control methods meant to treat the control problem of the complex nonlinear dynamics of electric power systems and electric vehicles without the need for complicated state-space model transformations and changes of state variables. Contains modular and scalable control schemes which can be applied to a large class of dynamic models of electric power systems and electric vehicles. They have a clear and easy-to- implement algorithmic part, while they also exhibit a moderate computational load. Fosters the optimized exploitation of renewable energy sources and the reliable integration of renewable energy units in the power grid. Suitable for teaching nonlinear control, estimation and fault diagnosis topics with emphasis to electric power systems and to electric vehicle traction and propulsion systems both at late undergraduate and postgraduate levels.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aElectric power systems _xControl. _995160
650		7	_aTECHNOLOGY / General _2bisacsh _964829
700	1		_aRigatos, Gerasimos G., _d1971- _995161
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003490913
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cE-Books
999			_c67988 _d67988