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TP-Model Transformation-Based-Control Design Frameworks

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	TP-Model Transformation-Based-Control Design Frameworks/ by Péter Baranyi.
作者:	Baranyi, Péter.
面頁冊數:	XXVI, 230 p. 120 illus., 52 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Control engineering. -
電子資源:	https://doi.org/10.1007/978-3-319-19605-3
ISBN:	9783319196053

TP-Model Transformation-Based-Control Design Frameworks
Baranyi, Péter.

TP-Model Transformation-Based-Control Design Frameworks[electronic resource] /by Péter Baranyi. - 1st ed. 2016. - XXVI, 230 p. 120 illus., 52 illus. in color.online resource.

Introduction -- Basic Concepts -- TP Model Transformation -- TPI Model Transformation for the class of non qLPV models -- TPτ 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 -- TPτ transformation based Control Design for Impedance Controlled Robot Gripper.

This 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.

ISBN: 9783319196053

Standard No.: 10.1007/978-3-319-19605-3doiSubjects--Topical Terms:

1249728
Control engineering.

LC Class. No.: TJ212-225

Dewey Class. No.: 629.8

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505 0 $a Introduction -- Basic Concepts -- TP Model Transformation -- TPI Model Transformation for the class of non qLPV models -- TPτ 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 -- TPτ transformation based Control Design for Impedance Controlled Robot Gripper.
520 $a This 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.
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