000			03664nam a22003975i 4500
001			84653
003			ES-MaUEC
005			20230207040434.0
007			cr nn 008mamaa
008			160428s2016 gw a s 001 0 eng d
020			_a9783319196053
024	7		_a10.1007/978-3-319-19605-3 _2doi
040			_aES-MaUEC
050		4	_aQA402.3 _b.B37 2016 EB
082	0	4	_a629.8
100	1		_aBaranyi, Pet́er _0local _996996 _0Local
245	1	0	_aTP-Model Transformation-Based-Control Design Frameworks _cby Péter Baranyi
264		1	_aCham _bSpringer International Publishing _c2016
300			_a1 recurso en línea (XXVI, 230 p.) _b120 ilustraciones, 52 ilustraciones en color
336			_aTexto (visual) _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
505	0		_aIntroduction -- Basic Concepts -- TP Model Transformation -- TPI Model Transformation for the class of non qLPV models -- TPx model transformation for systems including time delay -- TP model transformation is a gateway between identification and design -- General Stability Verification -- Relaxed control design via TP model transformation based framework -- qLPV model of the 3DoF prototypical aeroelastic wing section -- TP model based control design -- Convex hull manipulation based optimization -- Relaxed TP model based design framework -- Impedance model with feedback delay in TP model form -- TPx transformation based Control Design for Impedance Controlled Robot Gripper.
520	3		_aThis book covers new aspects and frameworks of control, design, and optimization based on the TP model transformation and its various extensions. The author outlines the three main steps of polytopic and LMI based control design: 1) development of the qLPV state-space model, 2) generation of the polytopic model; and 3) application of LMI to derive controller and observer. He goes on to describe why literature has extensively studied LMI design, but has not focused much on the second step, in part because the generation and manipulation of the polytopic form was not tractable in many cases. The author then shows how the TP model transformation facilitates this second step and hence reveals new directions, leading to powerful design procedures and the formulation of new questions. The chapters of this book, and the complex dynamical control tasks which they cover, are organized so as to present and analyze the beneficial aspect of the family of approaches (control, design, and optimization). Additionally, the book aims to convey simple TP modeling; a new convex hull manipulation based possibilities for optimization; a general framework for stability analysis; standardized modeling and system description; relaxed and universal LMI based design framework; and a gateway to time-delayed systems.
710	2		_aSpringerLink (Online service) _0Local _9106996
942			_2lcc _cLE
988			_aEBOOK, EBSPRINGER
650		7	_9145606 _aControl, Teoría de _0comprobar BNE19921049464 _2embne
650		7	_aModelos matemáticos _0comprobar BNE19900964919 _2embne _9405064
650		7	_aControl automático _0comprobar BNE19900978127 _2embne _9405125
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-19605-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
901			_ai9783319196053
907			_a.b12939316 _b18-11-17 _c21-11-16
998			_am _a_alco _a_vill _b18-11-17 _cm _dz _eo _feng _ggw _h0
945			_aQA402.3 .B37 2016 EB _g1 _ieBOOK _j0 _lmae _o- _pEUR0.00 _q- _r- _sb _t15 _u0 _v0 _w0 _x0 _y.i11583800 _z06-04-17
999			_c84653 _d84653 _x1