This book presents the first unified and thorough discussion of Type-2 FLCs and Type-2 fuzzy logic control systems, providing the necessary tools for the design of the control of complex nonlinear systems. The analysis includes 1) the mathematical structure of some Type-2 FLCs, 2) stability of Type-2 fuzzy logic control systems, and 3) robustness of the Type-2 fuzzy logic control systems. This book, the first one entirely on Type-2 FLCs, shows the reader how to design Type-2 fuzzy logic control systems based on a variety of choices for the Type-2 FLC components and also demonstrates how to apply Type-2 fuzzy logic control theory to applications. It is written by five of the leading experts on Type-2 fuzzy sets, systems, and control. This book consists of seven chapters. This book has been written with an educational focus rather than a pure research focus. Each chapter includes worked examples, and most refer to computer programs accessible through the book’s Web site, outlining how to use them at a high level. Therefore, this book is appropriate for classroom use in graduate courses in electrical engineering, computer engineering, and computer science. This book also is a self-contained reference suitable for engineers, researchers, and graduate students who want to gain deep insights about Type-2 FLCs.
[1]
Faa-Jeng Lin,et al.
Adaptive Control of Two-Axis Motion Control System Using Interval Type-2 Fuzzy Neural Network
,
2009,
IEEE Transactions on Industrial Electronics.
[2]
Syuan-Yi Chen,et al.
Robust Control of an LUSM-Based Xhbox-Yhbox-theta Motion Control Stage Using an Adaptive Interval Type-2 Fuzzy Neural Network
,
2009,
IEEE Trans. Fuzzy Syst..
[3]
Syuan-Yi Chen,et al.
Interval type-2 fuzzy neural network control for X-Y-Theta motion control stage using linear ultrasonic motors
,
2009,
Neurocomputing.
[4]
Igor Zwir,et al.
AUTOMATED GENERATION OF QUALITATIVE REPRESENTATIONS OF COMPLEX OBJECTS BY HYBRID SOFT-COMPUTING METHODS
,
2001
.