000 03353nam a22004215i 4500
001 978-3-319-19605-3
003 DE-He213
005 20200421112548.0
007 cr nn 008mamaa
008 160428s2016 gw | s |||| 0|eng d
020 _a9783319196053
_9978-3-319-19605-3
024 7 _a10.1007/978-3-319-19605-3
_2doi
050 4 _aTJ212-225
072 7 _aTJFM
_2bicssc
072 7 _aTEC004000
_2bisacsh
082 0 4 _a629.8
_223
100 1 _aBaranyi, P�eter.
_eauthor.
245 1 0 _aTP-Model Transformation-Based-Control Design Frameworks
_h[electronic resource] /
_cby P�eter Baranyi.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2016.
300 _aXXVI, 230 p. 120 illus., 52 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aIntroduction -- Basic Concepts -- TP Model Transformation -- TPI Model Transformation for the class of non qLPV models -- TP(Sx(B 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 -- TP(Sx(B transformation based Control Design for Impedance Controlled Robot Gripper.
520 _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.
650 0 _aEngineering.
650 0 _aControl engineering.
650 1 4 _aEngineering.
650 2 4 _aControl.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319196046
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-19605-3
912 _aZDB-2-ENG
942 _cEBK
999 _c58727
_d58727