000			03944nam a22003855i 4500
001			287647
003			MX-SnUAN
005			20160429154555.0
007			cr nn 008mamaa
008			150903s2012 xxk| o |||| 0|eng d
020			_a9781447122241 _99781447122241
024	7		_a10.1007/9781447122241 _2doi
035			_avtls000339523
039		9	_a201509030838 _bVLOAD _c201404300401 _dVLOAD _y201402060937 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
050		4	_aTJ212-225
100	1		_aZhang, Chunlei. _eautor _9316927
245	1	0	_aExtremum-Seeking Control and Applications : _bA Numerical Optimization-Based Approach / _cby Chunlei Zhang, Raúl Ordóñez.
264		1	_aLondon : _bSpringer London : _bImprint: Springer, _c2012.
300			_axviii, 203 páginas 87 ilustraciones, 73 ilustraciones en color. _brecurso en línea.
336			_atexto _btxt _2rdacontent
337			_acomputadora _bc _2rdamedia
338			_arecurso en línea _bcr _2rdacarrier
347			_aarchivo de texto _bPDF _2rda
490	0		_aAdvances in Industrial Control, _x1430-9491
500			_aSpringer eBooks
505	0		_aPart I: Theory -- Introduction -- Design of Extremum-seeking Control -- Finite-time State Regulator Design.-Asymptotic State Regulator Design -- Part II: Applications -- Antilock Braking systems -- Swarm Tracking -- Impedance Matching -- Mobile Radar Network -- Appendix: Construction of Reference Signal.
520			_aExtremum seeking control tracks a varying maximum or minimum in a performance function such as a cost. It attempts to determine the optimal performance of a control system as it operates, thereby reducing downtime and the need for system analysis. Extremum Seeking Control and Applications is divided into two parts. In the first, the authors review existing analog optimization based extremum seeking control including gradient, perturbation and sliding mode based control designs. They then propose a novel numerical optimization based extremum seeking control based on optimization algorithms and state regulation. This control design is developed for simple linear time-invariant systems and then extended for a class of feedback linearizable nonlinear systems. The two main optimization algorithms – line search and trust region methods – are analyzed for robustness. Finite-time and asymptotic state regulators are put forward for linear and nonlinear systems respectively. Further design flexibility is achieved using the robustness results of the optimization algorithms and the asymptotic state regulator by which existing nonlinear adaptive control techniques can be introduced for robust design. The approach used is easier to implement than those that use perturbation based extremum seeking control, and tends to display a high level of robustness. The second part of the book deals with a variety of applications of extremum seeking control: ·         a comparative study of extremum seeking control schemes in antilock braking system design; ·         impedance matching; ·         source seeking, formation control, collision and obstacle avoidance for groups of autonomous agents; and ·         mobile radar networks. Extremum Seeking Control and Applications will interest academics and graduate students working in control, and industrial practitioners from a variety of backgrounds: systems, automotive, aerospace, communications, semiconductor and chemical engineering.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aOrdóñez, Raúl. _eautor _9316928
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781447122234
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4471-2224-1 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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999			_c287647 _d287647