New approaches to fuzzy modeling and control : design and analysis /

Fuzzy logic has found applications in an incredibly wide range of areas in the relatively short time since its conception. It was invented by Lotfi Zadeh, a leading systems expert, so it is perhaps not surprising that system theory is one of the areas in which fuzzy logic has made a profound impact....

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Margaliot, Michael
Otros Autores: Langholz, Gideon
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore ; River Edge, NJ : World Scientific, ©2000.
Colección:Series in machine perception and artificial intelligence ; vol. 38.
Temas:
Fuzzy systems.
Adaptive control systems.
Systèmes flous.
Systèmes adaptatifs.
TECHNOLOGY & ENGINEERING > Automation.
TECHNOLOGY & ENGINEERING > Robotics.
Adaptive control systems
Fuzzy systems
FUZZY SYSTEMS.
LOGIC PROGRAMMING.
ADAPTIVE CONTROL.
ARTIFICIAL INTELLIGENCE.
LIAPUNOV FUNCTIONS.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Ch. 1. Prologue. 1.1. Background. 1.2. Preview. 1.3. Notes and references
  • ch. 2. Fuzzy Lyapunov synthesis. 2.1. Introduction. 2.2. The design method. 2.3. Putting it to work: Design examples. 2.4. Summary and discussion. 2.5. Notes and references
  • ch. 3. Fuzzy Lyapunov synthesis and stability analysis. 3.1. Introduction. 3.2. Classical Lyapunov stability analysis. 3.3. Fuzzy Lyapunov stability analysis. 3.4. Summary and discussion. 3.5. Notes and references
  • ch. 4. Adaptive fuzzy controller design. 4.1. Introduction. 4.2. Designing the rule-base. 4.3. Adaptation. 4.4. Example: Inverted pendulum control. 4.5. Summary and discussion. 4.6. Notes and references
  • ch. 5. Inverse optimality for fuzzy controllers. 5.1. Introduction. 5.2. Review of optimality and inverse optimality. 5.3. The scalar case. 5.4. N-th order systems. 5.5. Stability. 5.6. Robustness. 5.7. Summary and discussion. 5.8. Notes and references
  • ch. 6. Hyperbolic approach to fuzzy modeling. 6.1. Introduction. 6.2. The hyperbolic state-space model. 6.3. Approximation capabilities. 6.4. The modeling process. 6.5. On-line parameter estimation. 6.6. Summary and discussion. 6.7. Notes and references
  • ch. 7. Fuzzy controllers for the hyperbolic state-space model. 7.1. Introduction. 7.2. Diagonal stabilization. 7.3. Nonlinear H[symbol] optimal control. 7.4. Nonlinear H[symbol] optimal control. 7.5. Linguistic interpretation. 7.6. Summary and discussion. 7.7. Notes and references
  • ch. 8. Epilogue.

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