Fuzzy Controller Design Theory and Applications

Presents clear, practical, easy-to-use methods for designing and implementing fuzzy control systemsAddresses the heuristic nature of fuzzy controller design and methods to overcome the resulting problemsExamines the design of hybrid, adaptive, and self-learning fuzzy control structuresExplains original concepts and methods such as phase-plane-based initial presetting, sensitivity model-based self-organization, and PLC-based implementationProvides easy-to-follow worked examples in MATLABĹ˝ Fuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex systems that demand high stability and functionality beyond the capabilities of traditional methods. A thorough treatise on the theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory- and industry-tested algorithms, techniques, and formulations of real-world problems for immediate implementation. With surgical precision, the authors carefully select the fundamental elements of fuzzy logic control theory necessary to formulate effective and efficient designs. The book supplies a springboard of knowledge, punctuated with examples worked out in MATLABĹ˝/SIMULINKĹ˝, from which newcomers to the field can dive directly into applications. It systematically covers the design of hybrid, adaptive, and self-learning fuzzy control structures along with strategies for fuzzy controller design suitable for on-line and off-line operation. Examples occupy an entire chapter, with a section devoted to the simulation of an electro-hydraulic servo system. The final chapter explores industrial applications with emphasis on techniques for fuzzy controller implementation and different implementation platforms for various applications.With proven methods based on more than a decade of experience, Fuzzy Controller Design: Theory and Applications is a concise guide to the methodology, design steps, and formulations for effective control solutions.