Fuzzy control is emerging as a practical alternative to conventional methods of solving challenging control problems. Written by two authors who have been involved in creating theoretical foundations for the field and who have helped assess the value of this new technology relative to conventional approaches, Fuzzy Control is filled with a wealth of examples and case studies on design and implementation. Computer code and MATLAB files can be downloaded for solving the book's examples and problems and can be easily modified to implement the reader's own fuzzy controllers or estimators. Drawing on their extensive experience working with industry on implementations, Kevin Passino and Stephen Yurkovich have written an excellent hands-on introduction for professionals and educators interested in learning or teaching fuzzy control.
30 pages matching scaling gains in this book
Results 1-3 of 30
What people are saying - Write a review
Case Studies in Design and Implementation
7 other sections not shown
achieve adaptive control adaptive fuzzy control aircraft analysis applications approach auto-attentive auto-tuning basic Chapter choose closed-loop system clustering construct control problem controller inputs conventional control data pair defined defuzzification denote Design Problem direct fuzzy controller dynamics elbow link endpoint engine Equation estimation example failure figure taken flexible robot FMRLC fuzzy control system fuzzy inverse model fuzzy scheduler gain scheduler genetic algorithm gradient hence IEEE implementation implied fuzzy set input membership functions input universe inverted pendulum learning mechanism limit cycles linear linguistic values membership function centers method multilayer perceptron neural networks nonlinear operation output membership functions parameters performance PID controller plant plot position possmall premise quantify recursive least squares reference input reference model represent rule-base scaling gains Section shoulder link shown in Figure simply simulation specify speed stability Suppose Takagi-Sugeno fuzzy system techniques tion training data troller tune universe of discourse update vehicle zero