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Foundations of fuzzy control : a practical approach / / Jan Jantzen



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Autore: Jantzen Jan Visualizza persona
Titolo: Foundations of fuzzy control : a practical approach / / Jan Jantzen Visualizza cluster
Pubblicazione: Chichester, West Sussex, U.K., : Wiley, c2013
Edizione: 2nd ed.
Descrizione fisica: 1 online resource (347 p.)
Disciplina: 629.8/312
Soggetto topico: Automatic control
Fuzzy systems
Fuzzy automata
Classificazione: TEC009070
Note generali: Description based upon print version of record.
Nota di bibliografia: Includes bibliographical references and index.
Nota di contenuto: FOUNDATIONS 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
2.3 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*
3.7.1 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
4.9 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*
5.10.1 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*
6.7.1 The MIT Rule
Sommario/riassunto: "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"--
"This textbook aims to explain the behaviour of fuzzy logic controllers"--
Titolo autorizzato: Foundations of fuzzy control  Visualizza cluster
ISBN: 1-118-53559-6
1-118-53560-X
1-118-53558-8
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910827232703321
Lo trovi qui: Univ. Federico II
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