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001			291590
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008			150903s2006 xxk| o |||| 0|eng d
020			_a9781846283505 _99781846283505
024	7		_a10.1007/1846283507 _2doi
035			_avtls000343820
039		9	_a201509030752 _bVLOAD _c201404121008 _dVLOAD _c201404090745 _dVLOAD _y201402061205 _zstaff
040			_aMX-SnUAN _bspa _cMX-SnUAN _erda
100	1		_aAbu-Khalaf, Murad. _eautor _9322955
245	1	0	_aNonlinear H2/H? Constrained Feedback Control : _bA Practical Design Approach Using Neural Networks / _cby Murad Abu-Khalaf, Jie Huang, Frank L. Lewis.
264		1	_aLondon : _bSpringer London, _c2006.
300			_axx, 203 páginas 47 ilustraciones _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		_aPreliminaries and Introduction -- Policy Iterations and Nonlinear H 2 Constrained State Feedback Control -- Nearly H 2 Optimal Neural Network Control for Constrained-Input Systems -- Policy Iterations and Nonlinear H ? Constrained State Feedback Control -- Nearly H ? Optimal Neural Network Control for Constrained-Input Systems -- Taylor Series Approach to Solving HJI Equation -- An Algorithm to Solve Discrete HJI Equations Arising from Discrete Nonlinear H ? Control Problems -- H ? Static Output Feedback.
520			_aModern aerospace, automotive, nautical, industrial, microsystem-assembly and robotic systems are becoming more and more complex. High-performance vehicles no longer have built-in error safety margins, but are inherently unstable by design to allow for more flexible maneuvering options. With the push towards better performance in terms of greater accuracy and faster speed of response, control demands are increasing. The combination of highly nonlinear dynamics, relaxed static stability, and tight performance specifications places increasing demands on the design of feedback systems for control. Current control system design techniques have difficulty in meeting these demands. In this book the authors present algorithms for H2 and H-infinity design for nonlinear systems which, unlike earlier theories, provide solution techniques for the core Hamilton–Jacobi equations that yield control systems which can be implemented in real systems; neural networks are used to solve the nonlinear control design equations. Industrial and aerospace systems usually have constraints on the amplitudes of the control actuator inputs so techniques are set out for dealing with these. All results are proven mathematically to give confidence and performance guarantees and the design algorithms can be used to obtain practically useful controllers. Nearly optimal applications to constrained-state and minimum-time problems are also discussed and since control systems are usually implemented using computer microprocessors, a chapter is devoted to discrete-time design to yield digital controllers. Nonlinear H2/H-infinity Constrained Feedback Control will be of major importance to control systems designers working in industrial, automotive, robotic, military and chemical process systems. Design and simulation case studies are given and the design of nonlinear control systems of the same caliber as those obtained in recent years using linear optimal and bounded-norm designs based on the Riccati equation is explained together with feedback control systems of guaranteed high performance that can be implemented directly as a nonlinear network structure. With its opening chapter introducing such necessary control system foundations as Lyapunov theory, passivity and game theory, the book will also be of great interest to academics and their graduate students in control systems as a complete foundation for H2 and H-infinity design. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
590			_aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700	1		_aHuang, Jie. _eautor _9322956
700	1		_aLewis, Frank L. _eautor _9315737
710	2		_aSpringerLink (Servicio en línea) _9299170
776	0	8	_iEdición impresa: _z9781846283499
856	4	0	_uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/1-84628-350-7 _zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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