LEADER 05515nam 2200649 a 450 001 9910141763403321 005 20230803030655.0 010 $a1-118-53559-6 010 $a1-118-53560-X 010 $a1-118-53558-8 035 $a(CKB)2670000000392106 035 $a(EBL)1273517 035 $a(OCoLC)852759274 035 $a(OCoLC)847842765 035 $a(MiAaPQ)EBC1273517 035 $a(DLC) 2013023628 035 $a(Au-PeEL)EBL1273517 035 $a(CaPaEBR)ebr10731769 035 $a(CaONFJC)MIL504477 035 $a(EXLCZ)992670000000392106 100 $a20130719d2013 uy 0 101 0 $aeng 135 $aurcn||||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aFoundations of fuzzy control$b[electronic resource]$ea practical approach /$fJan Jantzen 205 $a2nd ed. 210 $aChichester, West Sussex, U.K. $cWiley$dc2013 215 $a1 online resource (347 p.) 300 $aDescription based upon print version of record. 311 $a1-118-50622-7 320 $aIncludes bibliographical references and index. 327 $aFOUNDATIONS OF FUZZY CONTROL; Contents; Foreword; Preface to the Second Edition; Preface to the First Edition; 1 Introduction; 1.1 What Is Fuzzy Control?; 1.2 Why Fuzzy Control?; 1.3 Controller Design; 1.4 Introductory Example: Stopping a Car; 1.5 Nonlinear Control Systems; 1.6 Summary; 1.7 The Autopilot Simulator*; 1.8 Notes and References*; 2 Fuzzy Reasoning; 2.1 Fuzzy Sets; 2.1.1 Classical Sets; 2.1.2 Fuzzy Sets; 2.1.3 Universe; 2.1.4 Membership Function; 2.1.5 Possibility; 2.2 Fuzzy Set Operations; 2.2.1 Union, Intersection, and Complement; 2.2.2 Linguistic Variables; 2.2.3 Relations 327 $a2.3 Fuzzy If-Then Rules 2.3.1 Several Rules; 2.4 Fuzzy Logic; 2.4.1 Truth-Values; 2.4.2 Classical Connectives; 2.4.3 Fuzzy Connectives; 2.4.4 Triangular Norms; 2.5 Summary; 2.6 Theoretical Fuzzy Logic*; 2.6.1 Tautologies; 2.6.2 Fuzzy Implication; 2.6.3 Rules of Inference; 2.6.4 Generalized Modus Ponens; 2.7 Notes and References*; 3 Fuzzy Control; 3.1 The Rule Based Controller; 3.1.1 Rule Base Block; 3.1.2 Inference Engine Block; 3.2 The Sugeno Controller; 3.3 Autopilot Example: Four Rules; 3.4 Table Based Controller; 3.5 Linear Fuzzy Controller; 3.6 Summary; 3.7 Other Controller Components* 327 $a3.7.1 Controller Components 3.8 Other Rule Based Controllers*; 3.8.1 The Mamdani Controller; 3.8.2 The FLS Controller; 3.9 Analytical Simplification of the Inference*; 3.9.1 Four Rules; 3.9.2 Nine Rules; 3.10 Notes and References*; 4 Linear Fuzzy PID Control; 4.1 Fuzzy P Controller; 4.2 Fuzzy PD Controller; 4.3 Fuzzy PD+I Controller; 4.4 Fuzzy Incremental Controller; 4.5 Tuning; 4.5.1 Ziegler-Nichols Tuning; 4.5.2 Hand-Tuning; 4.5.3 Scaling; 4.6 Simulation Example: Third-Order Process; 4.7 Autopilot Example: Stable Equilibrium; 4.7.1 Result; 4.8 Summary 327 $a4.9 Derivative Spikes and Integrator Windup*4.9.1 Set point Weighting; 4.9.2 Filtered Derivative; 4.9.3 Anti-Windup; 4.10 PID Loop Shaping*; 4.11 Notes and References*; 5 Nonlinear Fuzzy PID Control; 5.1 Nonlinear Components; 5.2 Phase Plot; 5.3 Four Standard Control Surfaces; 5.4 Fine-Tuning; 5.4.1 Saturation in the Universes; 5.4.2 Limit Cycle; 5.4.3 Quantization; 5.4.4 Noise; 5.5 Example: Unstable Frictionless Vehicle; 5.6 Example: Nonlinear Valve Compensator; 5.7 Example: Motor Actuator with Limits; 5.8 Autopilot Example: Regulating a Mass Load; 5.9 Summary; 5.10 Phase Plane Analysis* 327 $a5.10.1 Trajectory in the Phase Plane 5.10.2 Equilibrium Point; 5.10.3 Stability; 5.11 Geometric Interpretation of the PD Controller*; 5.11.1 The Switching Line; 5.11.2 A Rule Base for Switching; 5.12 Notes and References*; 6 The Self-Organizing Controller; 6.1 Model Reference Adaptive Systems; 6.2 The Original SOC; 6.2.1 Adaptation Law; 6.3 A Modified SOC; 6.4 Example with a Long Dead time; 6.4.1 Tuning; 6.4.2 Adaptation; 6.4.3 Performance; 6.5 Tuning and Time Lock; 6.5.1 Tuning of the SOC Parameters; 6.5.2 Time Lock; 6.6 Summary; 6.7 Example: Adaptive Control of a First-Order Process* 327 $a6.7.1 The MIT Rule 330 $a"Foundations of Fuzzy Control 2nd Edition: A Practical Approach has been significantly revised and updated, with two new chapters on Gain Scheduling Control and Neurofuzzy Modeling. It focuses on the PID (Proportional, Integral, Derivative) type controller which is the most widely used in industry and systematically analyses several fuzzy PID control systems and adaptive control mechanisms.Foundations of Fuzzy Control 2nd Edition: A Practical Approach sets out practical worked-through problems, examples and case studies to illustrate each type of control system; and is accompanied by a website that hosts downloadable MATLAB programs and a web based course on Fuzzy Control which is taught by the author"--$cProvided by publisher. 330 $a"This textbook aims to explain the behaviour of fuzzy logic controllers"--$cProvided by publisher. 606 $aAutomatic control 606 $aFuzzy systems 606 $aFuzzy automata 615 0$aAutomatic control. 615 0$aFuzzy systems. 615 0$aFuzzy automata. 676 $a629.8/312 686 $aTEC009070$2bisacsh 700 $aJantzen$b Jan$0932398 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910141763403321 996 $aFoundations of fuzzy control$92098121 997 $aUNINA