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1. A course in fuzzy systems and control [1996]
 Wang, LiXin, 1962
 Upper Saddle River, NJ : Prentice Hall PTR, c1997 [i.e. 1996]
 Description
 Book — xviii, 424 p. : ill. ; 24 cm.
 Summary

 1. Introduction. Why Fuzzy Systems? What Are Fuzzy Systems? Where Are Fuzzy Systems Used and How? What Are the Major Research Fields in Fuzzy Theory? A Brief History of Fuzzy Theory and Applications. Summary and Further Readings. Exercises. I. THE MATHEMATICS OF FUZZY SYSTEMS AND CONTROL.
 2. Fuzzy Sets and Basic Operations on Fuzzy Sets. From Classical Sets to Fuzzy Sets. Basic Concepts Associated with A Fuzzy Set. Operations on Fuzzy Sets. Summary and Further Readings. Exercises.
 3. Further Operations on Fuzzy Sets. Fuzzy Complement. Fuzzy Union  The SNorms. Fuzzy Intersection  The TNorms. Averaging Operators. Summary and Further Readings. Exercises.
 4. Fuzzy Relations and the Extension Principle. From Classical Relations to Fuzzy Relations. Compositions of Fuzzy Relations. The Extension Principle. Summary and Further Readings. Exercises.
 5. Linguistic Variables and Fuzzy IFTHEN Rules. From Numerical Variables to Linguistic Variables. Linguistic Hedges. Fuzzy IFTHEN Rules. Summary and Further Readings. Exercises.
 6. Fuzzy Logic and Approximate Reasoning. From Classical Logic to Fuzzy Logic. The Compositional Rule of Inference. Properties of the Implication Rules. Summary and Further Readings. Exercises. II. FUZZY SYSTEMS AND THEIR PROPERTIES.
 7. Fuzzy Rule Base and Fuzzy Inference Engine. Fuzzy Rule Base. Fuzzy Inference Engine. Summary and Further Readings. Exercises.
 8. Fuzzifiers and Defuzzifiers. Fuzzifiers. Defuzzifiers. Summary and Further Readings. Exercises.
 9. Fuzzy Systems as Nonlinear Mappings. The Formulas of Some Classes of Fuzzy Systems. Fuzzy Systems As Universal Approximators. Summary and Further Readings. Exercises.
 10. Approximation Properties of Fuzzy Systems I. Preliminary Concepts. Design of A Fuzzy System. Approximation Accuracy of the Fuzzy System. Summary and Further Readings. Exercises.
 11. Approximation Properties of Fuzzy Systems II. Fuzzy Systems with SecondOrder Approximation Accuracy. Approximation Accuracy of Fuzzy Systems with Maximum Defuzzifier. Summary and Further Readings. Exercises. III. DESIGN OF FUZZY SYSTEMS FROM INPUTOUTPUT DATA.
 12. Design of Fuzzy Systems Using A Table LookUp Scheme. A Table LookUp Scheme for Designing Fuzzy Systems from Input Output Pairs. Application to Truck BackerUpper Control. Application to TimeSeries Prediction. Summary and Further Readings. Exercises and Projects.
 13. Design of Fuzzy Systems Using Gradient Descent Training. Choosing the Structure of Fuzzy Systems. Designing the Parameters by Gradient Descent. Application to Nonlinear Dynamic System Identification. Summary and Further Readings. Exercises and Projects.
 14. Design of Fuzzy Systems Using Recursive Least Squares. Design of the Fuzzy System. Derivation of the Recursive Least Squares Algorithm. Application to Equalization of Nonlinear Communication Channels.
 15. Design of Fuzzy Systems Using Clustering. An Optimal Fuzzy System. Design of Fuzzy Systems By Clustering. Application to Adaptive Control of Nonlinear Systems. Summary and Further Readings. Exercises and Projects. IV. NONADAPTIVE FUZZY CONTROL.
 16. The TrialandError Approach to Fuzzy Controller Design. Fuzzy Control Versus Conventional Control. The TrialandError Approach to Fuzzy Controller Design. Case Study I: Fuzzy Control of A Cement Kiln. Case Study II: Fuzzy Control of A Wastewater Treatment Process. Summary and Further Readings. Exercises.
 17. Fuzzy Control of Linear Systems I: Stable Controllers. Stable Fuzzy Control of SingleInputSingleOutput Systems. Stable Fuzzy Control of MultiInputMultiOutput Systems. Summary and Further Readings. Exercises.
 18. Fuzzy Control of Linear Systems II: Optimal and Robust Controllers. Optimal Fuzzy Control. Robust Fuzzy Control. Summary and Further Readings. Exercises.
 19. Fuzzy Control of Nonlinear Systems I: Sliding Control. Fuzzy Control As Sliding Control: Analysis. Fuzzy Control As Sliding Control: Design. Summary and Further Readings. Exercises.
 20. Fuzzy Control of Nonlinear Systems II: Supervisory Control. Multilevel Control Involving Fuzzy Systems. Stable Fuzzy Control Using Nonfuzzy Supervisor. Gain Scheduling of PID Controller Using Fuzzy Systems. A Fuzzy System for Turning the PID Gains. Summary and Further Readings. Exercises.
 21. Fuzzy Control of Fuzzy System Models. The TakagiSugenoKang Fuzzy Systems. ClosedLoop Dynamics of Fuzzy Model with Fuzzy Controller. Stability Analysis of the Dynamic TSK Fuzzy System. Design of Stable Fuzzy Controllers for the Fuzzy Model. Summary and Further Readings. Exercises.
 22. Qualitative Analysis of Fuzzy Control and Hierarchical Fuzzy Systems. Phase Plane Analysis of Fuzzy Control Systems. Robustness Indices for Stability. Hierarchical Fuzzy Control. Summary and Further Readings. Exercises. V. ADAPTIVE FUZZY CONTROL.
 23. Basic Adaptive Fuzzy Controllers I. Classification of Adaptive Fuzzy Controllers. Design of Indirect Adaptive Fuzzy Controller. Application to Inverted Pendulum Tracking Control. Summary and Further Readings. Exercises.
 24. Basic Adaptive Fuzzy Controllers II. Design of Direct Adaptive Fuzzy Controller. Design of Combined Direct/Indirect Adaptive Fuzzy Controller. Summary and Further Readings. Exercises.
 25. Advanced Adaptive Fuzzy Controllers I. State Boundedness By Supervisory Control. Parameter Boundedness By Projection. Summary and Further Readings. Exercises.
 26. Advanced Adaptive Fuzzy Controllers II. Stable Indirect Adaptive Fuzzy Control System. Adaptive Fuzzy Control of General Nonlinear Systems. Intuitive Concepts of InputOutput Linearization. Summary and Further Readings. Exercises. VI. MISCELLANEOUS TOPICS.
 27. The Fuzzy CMeans Algorithm. Why Fuzzy Models for Pattern Recognition? Hard and Fuzzy cPartitions. Hard and Fuzzy cMeans Algorithms. Convergence of the Fuzzy cMeans Algorithm. Summary and Further Readings. Exercises.
 28. Fuzzy Relation Equations. Introduction. Solving the Fuzzy Relation Equations. Solvability Indices of the Fuzzy Relation Equations. Summary and Further Readings. Exercises.
 29. Fuzzy Arithmetic. Fuzzy Numbers and the Decomposition Theorem. Addition and Subtraction of Fuzzy Numbers. Multiplication and Division of Fuzzy Numbers. Fuzzy Equations. Fuzzy Ranking. Summary and Further Readings. Exercises.
 30. Fuzzy Linear Programming. Classification of Fuzzy Linear Programming Problems. Linear Programming with Fuzzy Resources. Linear Programming with Fuzzy Objective Coefficients. Linear Programming with Fuzzy Constraint Coefficients. Comparison of Stochastic and Fuzzy Linear Programming. Summary and Further Readings. Exercises.
 31. Possibility Theory. Introduction. The Intuitive Approach to Possibility. The Axiomatic Approach to Possibility. Possibility versus Probability. Summary and Further Readings. Exercises.
 (source: Nielsen Book Data)
(source: Nielsen Book Data)
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QA76.87 .W35 1996  Available 
 Wang, LiXin, 1962
 Englewood Cliffs, N.J. : PTR Prentice Hall, c1994.
 Description
 Book — xvii, 232 p. : ill. ; 24 cm.
 Summary

This volume develops a variety of adaptive fuzzy systems and applies them to a variety of engineering problems. It summarizes the stateoftheart methods for automatic tuning of the parameters and structures of fuzzy logic systems, and shows both the details of how to apply them to a variety of control and signal processing problems, and how to analyze the performance of the resulting systems. It shows, step by step, how to combine linguistics and numerical information using various kinds of adaptive fuzzy systems. The book also provides rigorous analysis of nonlinear fuzzy control systems, and outlines a simple method to guarantee the stability of nonlinear control systems.
(source: Nielsen Book Data)
 Online
SAL3 (offcampus storage)
SAL3 (offcampus storage)  Status 

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TJ217 .W15 1994  Available 
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