An Introduction to Fuzzy ControlFuzzy controllers are a class of knowledge based controllers using artificial intelligence techniques with origins in fuzzy logic. They can be found either as stand-alone control elements or as integral parts of a wide range of industrial process control systems and consumer products. Applications of fuzzy controllers are an established practice for Japanese manufacturers, and are spreading in Europe and America. The main aim of this book is to show that fuzzy control is not totally ad hoc, that there exist formal techniques for the analysis of a fuzzy controller, and that fuzzy control can be implemented even when no expert knowledge is available. The book is mainly oriented to control engineers and theorists, although parts can be read without any knowledge of control theory and may interest AI people. This 2nd, revised edition incorporates suggestions from numerous reviewers and updates and reorganizes some of the material. |
Contents
1 | |
37 | 54 |
Completeness of a Set of Rules | 98 |
103 | 181 |
Adaptive Fuzzy Control | 197 |
3 | 206 |
Stability of Fuzzy Control Systems | 245 |
References | 291 |
Index | 304 |
Other editions - View all
An Introduction to Fuzzy Control Dimiter Driankov,Hans Hellendoorn,Michael Reinfrank Limited preview - 2013 |
An Introduction to Fuzzy Control Dimiter Driankov,Hans Hellendoorn,Michael Reinfrank Snippet view - 1993 |
An Introduction to Fuzzy Control Dimiter Driankov,Hans Hellendoorn,Michael Reinfrank Snippet view - 1993 |
Common terms and phrases
Adaptive controllers adaptive FKBC algorithm applications b₁ based inference change-of-error computed consider control output variable control system conventional control crisp input defined defuzzification method denormalization denoted described domain elements equation error example flow rate fuzzy control Fuzzy Control Systems fuzzy logic fuzzy model fuzzy process model fuzzy propositions fuzzy relation fuzzy set theory given if-then rules inference engine intersection knowledge representation linear linguistic values linguistic variable Mamdani membership degree membership functions NB NB normalized obtain on-line operation parameters PB PB performance measure phase plane PI-like FKBC PID-controller PM PB process output relation matrix representing the meaning robot rule base rule-antecedent scaling factors Section set of rules set-point Sets and Systems shown in Fig sliding mode sliding mode control stability analysis step response Sugeno T-norm universe of discourse vector zero