LEADER 05333nam 2200697Ia 450 001 9911019490303321 005 20200520144314.0 010 $a9786610367658 010 $a9781280367656 010 $a1280367652 010 $a9780470352212 010 $a0470352213 010 $a9780471465225 010 $a0471465224 010 $a9780471224594 010 $a0471224596 035 $a(CKB)111056485579818 035 $a(EBL)152018 035 $a(OCoLC)475871665 035 $a(SSID)ssj0000080430 035 $a(PQKBManifestationID)11120464 035 $a(PQKBTitleCode)TC0000080430 035 $a(PQKBWorkID)10118844 035 $a(PQKB)11105896 035 $a(MiAaPQ)EBC152018 035 $a(Perlego)2768316 035 $a(EXLCZ)99111056485579818 100 $a20010308d2001 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFuzzy control systems design and analysis $ea linear matrix inequality approach /$fKazuo Tanaka and Hua O. Wang 210 $aNew York $cWiley$dc2001 215 $a1 online resource (321 p.) 300 $a"A Wiley-Interscience publication." 311 08$a9780471323242 311 08$a0471323241 320 $aIncludes bibliographical references and index. 327 $aFUZZY CONTROL SYSTEMS DESIGN AND ANALYSIS; CONTENTS; PREFACE; ACRONYMS; 1 INTRODUCTION; 1.1 A Control Engineering Approach to Fuzzy Control; 1.2 Outline of This Book; 2 TAKAGI-SUGENO FUZZY MODEL AND PARALLEL DISTRIBUTED COMPENSATION; 2.1 Takagi-Sugeno Fuzzy Model; 2.2 Construction of Fuzzy Model; 2.2.1 Sector Nonlinearity; 2.2.2 Local Approximation in Fuzzy Partition Spaces; 2.3 Parallel Distributed Compensation; 2.4 A Motivating Example; 2.5 Origin of the LMI-Based Design Approach; 2.5.1 Stable Controller Design via Iterative Procedure 327 $a2.5.2 Stable Controller Design via Linear Matrix Inequalities2.6 Application: Inverted Pendulum on a Cart; 2.6.1 Two-Rule Modeling and Control; 2.6.2 Four-Rule Modeling and Control; Bibliography; 3 LMI CONTROL PERFORMANCE CONDITIONS AND DESIGNS; 3.1 Stability Conditions; 3.2 Relaxed Stability Conditions; 3.3 Stable Controller Design; 3.4 Decay Rate; 3.5 Constraints on Control Input and Output; 3.5.1 Constraint on the Control Input; 3.5.2 Constraint on the Output; 3.6 Initial State Independent Condition; 3.7 Disturbance Rejection; 3.8 Design Example: A Simple Mechanical System 327 $a3.8.1 Design Case 1: Decay Rate3.8.2 Design Case 2: Decay Rate + Constraint on the Control Input; 3.8.3 Design Case 3: Stability + Constraint on the Control Input; 3.8.4 Design Case 4: Stability + Constraint on the Control Input + Constraint on the Output; References; 4 FUZZY OBSERVER DESIGN; 4.1 Fuzzy Observer; 4.2 Design of Augmented Systems; 4.2.1 Case A; 4.2.2 Case B; 4.3 Design Example; References; 5 ROBUST FUZZY CONTROL; 5.1 Fuzzy Model with Uncertainty; 5.2 Robust Stability Condition; 5.3 Robust Stabilization; References; 6 OPTIMAL FUZZY CONTROL 327 $a6.1 Quadratic Performance Function and Stabilization Control6.2 Optimal Fuzzy Controller Design; Appendix to Chapter 6; References; 7 ROBUST-OPTIMAL FUZZY CONTROL; 7.1 Robust-Optimal Fuzzy Control Problem; 7.2 Design Example: TORA; References; 8 TRAJECTORY CONTROL OF A VEHICLE WITH MULTIPLE TRAILERS; 8.1 Fuzzy Modeling of a Vehicle with Triple-Trailers; 8.1.1 Avoidance of Jack-Knife Utilizing Constraint on Output; 8.2 Simulation Results; 8.3 Experimental Study; 8.4 Control of Ten-Trailer Case; References; 9 FUZZY MODELING AND CONTROL OF CHAOTIC SYSTEMS; 9.1 Fuzzy Modeling of Chaotic Systems 327 $a9.2 Stabilization9.2.1 Stabilization via Parallel Distributed Compensation; 9.2.2 Cancellation Technique; 9.3 Synchronization; 9.3.1 Case 1; 9.3.2 Case 2; 9.4 Chaotic Model Following Control; References; 10 FUZZY DESCRIPTOR SYSTEMS AND CONTROL; 10.1 Fuzzy Descriptor System; 10.2 Stability Conditions; 10.3 Relaxed Stability Conditions; 10.4 Why Fuzzy Descriptor Systems?; References; 11 NONLINEAR MODEL FOLLOWING CONTROL; 11.1 Introduction; 11.2 Design Concept; 11.2.1 Reference Fuzzy Descriptor System; 11.2.2 Twin-Parallel Distributed Compensations; 11.2.3 The Common B Matrix Case 327 $a11.3 Design Examples 330 $aA comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including stability analysis, systematic design procedures, incorporation of performance specifications, numerical implementations, and practical applications. Issues that have not been fully treated in existing texts, such as stability analysis, systematic design, and 606 $aLinear control systems 606 $aFuzzy systems 615 0$aLinear control systems. 615 0$aFuzzy systems. 676 $a629.832 700 $aTanaka$b Kazuo$f1962-$01840113 701 $aWang$b Hua O$0307928 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9911019490303321 996 $aFuzzy control systems design and analysis$94419612 997 $aUNINA LEADER 04582nam 22006375 450 001 9910366614703321 005 20251116220216.0 010 $a3-030-23339-1 024 7 $a10.1007/978-3-030-23339-6 035 $a(CKB)4100000009362649 035 $a(DE-He213)978-3-030-23339-6 035 $a(MiAaPQ)EBC5899961 035 $a(PPN)248602314 035 $a(EXLCZ)994100000009362649 100 $a20190921d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Isogeometric Boundary Element Method /$fby Gernot Beer, Benjamin Marussig, Christian Duenser 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XIV, 335 p. 235 illus., 189 illus. in color.) 225 1 $aLecture Notes in Applied and Computational Mechanics,$x1613-7736 ;$v90 311 08$a3-030-23338-3 320 $aIncludes bibliographical references. 327 $aIntroduction -- The boundary integral equation -- Basis functions, B-splines -- Description of the geometry -- Getting geometry information from CAD programs -- Numerical treatment of integral equations -- Numerical integration -- Steady state potential problems -- Static linear solid mechanics -- Body force effects -- Treatment of inhomogeneities/inclusions -- Material non-linear behaviour -- Applications in geomechanics -- Viscous flow problems -- Time dependent problems -- Summary and outlook -- Appendix A: Fundamental solutions. 330 $aThis book discusses the introduction of isogeometric technology to the boundary element method (BEM) in order to establish an improved link between simulation and computer aided design (CAD) that does not require mesh generation. In the isogeometric BEM, non-uniform rational B-splines replace the Lagrange polynomials used in conventional BEM. This may seem a trivial exercise, but if implemented rigorously, it has profound implications for the programming, resulting in software that is extremely user friendly and efficient. The BEM is ideally suited for linking with CAD, as both rely on the definition of objects by boundary representation. The book shows how the isogeometric philosophy can be implemented and how its benefits can be maximised with a minimum of user effort. Using several examples, ranging from potential problems to elasticity, it demonstrates that the isogeometric approach results in a drastic reduction in the number of unknowns and an increase in the quality of the results. In some cases even exact solutions without refinement are possible. The book also presents a number of practical applications, demonstrating that the development is not only of academic interest. It then elegantly addresses heterogeneous and non-linear problems using isogeometric concepts, and tests them on several examples, including a severely non-linear problem in viscous flow. The book makes a significant contribution towards a seamless integration of CAD and simulation, which eliminates the need for tedious mesh generation and provides high-quality results with minimum user intervention and computing. 410 0$aLecture Notes in Applied and Computational Mechanics,$x1613-7736 ;$v90 606 $aMechanics 606 $aMechanics, Applied 606 $aMathematical models 606 $aComputer simulation 606 $aSolid Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15010 606 $aMathematical Modeling and Industrial Mathematics$3https://scigraph.springernature.com/ontologies/product-market-codes/M14068 606 $aSimulation and Modeling$3https://scigraph.springernature.com/ontologies/product-market-codes/I19000 615 0$aMechanics. 615 0$aMechanics, Applied. 615 0$aMathematical models. 615 0$aComputer simulation. 615 14$aSolid Mechanics. 615 24$aMathematical Modeling and Industrial Mathematics. 615 24$aSimulation and Modeling. 676 $a531 676 $a515.35 700 $aBeer$b G$g(Gernot),$4aut$4http://id.loc.gov/vocabulary/relators/aut$030719 702 $aMarussig$b Benjamin$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aDuenser$b Christian$4aut$4http://id.loc.gov/vocabulary/relators/aut 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910366614703321 996 $aThe Isogeometric Boundary Element Method$91992478 997 $aUNINA