001453730 000__ 05363cam\a2200577\i\4500 001453730 001__ 1453730 001453730 003__ OCoLC 001453730 005__ 20230314003441.0 001453730 006__ m\\\\\o\\d\\\\\\\\ 001453730 007__ cr\cn\nnnunnun 001453730 008__ 230113s2023\\\\si\a\\\\ob\\\\001\0\eng\d 001453730 019__ $$a1357017953 001453730 020__ $$a9789811974625$$q(electronic bk.) 001453730 020__ $$a9811974624$$q(electronic bk.) 001453730 020__ $$z9789811974618 001453730 020__ $$z9811974616 001453730 0247_ $$a10.1007/978-981-19-7462-5$$2doi 001453730 035__ $$aSP(OCoLC)1356890970 001453730 040__ $$aYDX$$beng$$erda$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCQ 001453730 049__ $$aISEA 001453730 050_4 $$aTJ220 001453730 08204 $$a629.8/32$$223/eng/20230113 001453730 1001_ $$aRoy, Tamal,$$eauthor. 001453730 24510 $$aRobust control-oriented linear fractional transform modelling :$$bapplications for the [mu]-synthesis based H[infinity] control /$$cTamal Roy, Ranjit Kumar Barai. 001453730 264_1 $$aSingapore :$$bSpringer,$$c[2023] 001453730 264_4 $$c©2023 001453730 300__ $$a1 online resource (xi, 161 pages) :$$billustrations (chiefly color). 001453730 336__ $$atext$$btxt$$2rdacontent 001453730 337__ $$acomputer$$bc$$2rdamedia 001453730 338__ $$aonline resource$$bcr$$2rdacarrier 001453730 4901_ $$aStudies in systems, decision and control ;$$vvolume 453 001453730 504__ $$aIncludes bibliographical references and index. 001453730 5050_ $$aIntro -- Preface -- Contents -- About the Authors -- 1 Introduction -- 1.1 Motivation -- 1.2 Organization of This Book -- References -- 2 Mathematical Modelling of Real Physical Systems -- 2.1 Introduction -- 2.2 Mathematical Modelling of Real Physical Systems -- 2.3 Model-Based Control System -- 2.4 Uncertainty Modelling -- 2.5 Linear Fractional Transformation Modelling -- 2.6 Important Observations -- 2.7 Chapter Summary -- References -- 3 Control-Oriented Linear Fractional Transformation -- 3.1 Introduction -- 3.2 Control-Oriented Modelling -- 3.3 Uncertainty Modelling 001453730 5058_ $$a5 Generalized Control-Oriented LFT Modelling of a Coupled Uncertain MIMO System -- 5.1 Introduction -- 5.2 Generalized Control-Oriented LFT Modelling of Linear MIMO System -- 5.2.1 Problem Formulation -- 5.2.2 Control-Oriented LFT Modelling Approach for Multiplicative Uncertainty Structure -- 5.3 Generalized Control-Oriented LFT Modelling of Nonlinear MIMO System -- 5.3.1 Problem Formulation -- 5.3.2 Control-Oriented LFT Modelling Approach for Polytopic Uncertainty Structure -- 5.4 Chapter Summary -- References -- 6 Control-Oriented LFT Modelling of a Two-DOF Spring-Mass-Dashpot Dynamic System 001453730 5058_ $$a6.1 Introduction -- 6.2 Mathematical Modelling of 2DOF SMD System -- 6.3 LFT Modelling -- 6.3.1 Control-Oriented Linear Fractional Transformation Modelling of Two-DOF Spring-Mass-Dashpot Dynamic System -- 6.4 H∞ Controller Design -- 6.4.1 Weighting Function -- 6.4.2 System Interconnection -- 6.4.3 Simulation Results -- 6.5 Chapter Summary -- References -- 7 Control-Oriented LFT Modelling and H∞ Control of Twin Rotor MIMO System -- 7.1 Introduction -- 7.2 Mathematical Modelling of Twin Rotor MIMO System -- 7.2.1 Lagrangian Model of Twin Rotor MIMO System 001453730 5058_ $$a7.3 Control-Oriented LFT Modelling of Twin Rotor MIMO System -- 7.4 Design Specifications -- 7.4.1 Weighting Function -- 7.4.2 System Structure -- 7.5 H∞ Controller Design -- 7.6 Simulation Results -- 7.7 Chapter Summary -- 7.8 Notation -- References -- 8 Control-Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot -- 8.1 Introduction -- 8.2 Mathematical Modelling of Differentially Driven Wheeled Mobile Robot -- 8.2.1 Kinematic Modelling -- 8.2.2 Dynamic Modelling -- 8.3 Control-Oriented LFT Modelling of Differentially Driven Wheeled Mobile Robot 001453730 506__ $$aAccess limited to authorized users. 001453730 520__ $$aThis book covers a new paradigm of system modeling the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like [mu]-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the inputoutput. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like [mu]-synthesis-based H control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm. 001453730 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 13, 2023). 001453730 650_0 $$aLinear control systems. 001453730 650_0 $$aLinear control systems$$xMathematical models. 001453730 655_0 $$aElectronic books. 001453730 7001_ $$aBarai, Ranjit Kumar,$$eauthor. 001453730 77608 $$iPrint version: $$z9811974616$$z9789811974618$$w(OCoLC)1346152777 001453730 830_0 $$aStudies in systems, decision and control ;$$vv. 453. 001453730 852__ $$bebk 001453730 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-7462-5$$zOnline Access$$91397441.1 001453730 909CO $$ooai:library.usi.edu:1453730$$pGLOBAL_SET 001453730 980__ $$aBIB 001453730 980__ $$aEBOOK 001453730 982__ $$aEbook 001453730 983__ $$aOnline 001453730 994__ $$a92$$bISE