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Fuzzy Control Systems Design And Analysis

Author: Kazuo Tanaka
Publisher: John Wiley & Sons
ISBN: 0471465224
Size: 79.31 MB
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A comprehensive treatment of model-based fuzzy controlsystems This volume offers full coverage of the systematic framework forthe stability and design of nonlinear fuzzy control systems.Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wangaddress a number of important issues in fuzzy control systems,including stability analysis, systematic design procedures,incorporation of performance specifications, numericalimplementations, and practical applications. Issues that have not been fully treated in existing texts, suchas stability analysis, systematic design, and performance analysis,are crucial to the validity and applicability of fuzzy controlmethodology. Fuzzy Control Systems Design and Analysis addressesthese issues in the framework of parallel distributed compensation,a controller structure devised in accordance with the fuzzymodel. This balanced treatment features an overview of fuzzy control,modeling, and stability analysis, as well as a section on the useof linear matrix inequalities (LMI) as an approach to fuzzy designand control. It also covers advanced topics in model-based fuzzycontrol systems, including modeling and control of chaotic systems.Later sections offer practical examples in the form of detailedtheoretical and experimental studies of fuzzy control in roboticsystems and a discussion of future directions in the field. Fuzzy Control Systems Design and Analysis offersan advanced treatment of fuzzy control that makes a usefulreference for researchers and a reliable text for advanced graduatestudents in the field.

Stability Analysis Of Fuzzy Model Based Control Systems

Author: Hak-Keung Lam
Publisher: Springer Science & Business Media
ISBN: 364217843X
Size: 64.30 MB
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In this book, the state-of-the-art fuzzy-model-based (FMB) based control approaches are covered. A comprehensive review about the stability analysis of type-1 and type-2 FMB control systems using the Lyapunov-based approach is given, presenting a clear picture to researchers who would like to work on this field. A wide variety of continuous-time nonlinear control systems such as state-feedback, switching, time-delay and sampled-data FMB control systems, are covered. In short, this book summarizes the recent contributions of the authors on the stability analysis of the FMB control systems. It discusses advanced stability analysis techniques for various FMB control systems, and founds a concrete theoretical basis to support the investigation of FMB control systems at the research level. The analysis results of this book offer various mathematical approaches to designing stable and well-performed FMB control systems. Furthermore, the results widen the applicability of the FMB control approach and help put the fuzzy controller in practice. A wide range of advanced analytical and mathematical analysis techniques will be employed to investigate the system stability and performance of FMB-based control systems in a rigorous manner. Detailed analysis and derivation steps are given to enhance the readability, enabling the readers who are unfamiliar with the FMB control systems to follow the materials easily. Simulation examples, with figures and plots of system responses, are given to demonstrate the effectiveness of the proposed FMB control approaches.

Analysis And Synthesis Of Positive Systems Under L1 And L1 Performance

Author: Xiaoming Chen
Publisher: Springer
ISBN: 9811022275
Size: 23.85 MB
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This thesis introduces novel and significant results regarding the analysis and synthesis of positive systems, especially under l1 and L1 performance. It describes stability analysis, controller synthesis, and bounding positivity-preserving observer and filtering design for a variety of both discrete and continuous positive systems. It subsequently derives computationally efficient solutions based on linear programming in terms of matrix inequalities, as well as a number of analytical solutions obtained for special cases. The thesis applies a range of novel approaches and fundamental techniques to the further study of positive systems, thus contributing significantly to the theory of positive systems, a “hot topic” in the field of control.

Recent Advances In Intelligent Control Systems

Author: Wen Yu
Publisher: Springer Science & Business Media
ISBN: 184882548X
Size: 68.41 MB
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"Recent Advances in Intelligent Control Systems" gathers contributions from workers around the world and presents them in four categories according to the style of control employed: fuzzy control; neural control; fuzzy neural control; and intelligent control. The contributions illustrate the interdisciplinary antecedents of intelligent control and contrast its results with those of more traditional control methods. A variety of design examples, drawn primarily from robotics and mechatronics but also representing process and production engineering, large civil structures, network flows, and others, provide instances of the application of computational intelligence for control. Presenting state-of-the-art research, this collection will be of benefit to researchers in automatic control, automation, computer science (especially artificial intelligence) and mechatronics while graduate students and practicing control engineers working with intelligent systems will find it a good source of study material.

System Design And Control Integration For Advanced Manufacturing

Author: Han-Xiong Li
Publisher: John Wiley & Sons
ISBN: 1118822331
Size: 38.36 MB
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Most existing robust design books address design for static systems, or achieve robust design from experimental data via the Taguchi method. Little work considers model information for robust design particularly for the dynamic system. This book covers robust design for both static and dynamic systems using the nominal model information or the hybrid model/data information, and also integrates design with control under a large operating region. This design can handle strong nonlinearity and more uncertainties from model and parameters.

Lmi Approach To Analysis And Control Of Takagi Sugeno Fuzzy Systems With Time Delay

Author: Chong Lin
Publisher: Springer Science & Business Media
ISBN: 3540495525
Size: 73.83 MB
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This book provides the latest developments in the analysis and control of nonlinear time-delay systems using T-S fuzzy model approach. It presents a comprehensive, up-to-date, and detailed treatment of many interesting topics, such as stability analysis, stabilization, fuzzy variable structure control, fuzzy tracking control, fuzzy observer design, and filter design for T-S fuzzy systems with time delay.

Takagi Sugeno Fuzzy Systems Non Fragile H Infinity Filtering

Author: Xiao-Heng Chang
Publisher: Springer
ISBN: 3642286321
Size: 68.53 MB
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Takagi-Sugeno Fuzzy Systems Non-fragile H-infinity Filtering investigates the problem of non-fragile H-infinity filter design for Takagi-Sugeno (T-S) fuzzy systems. Given a T-S fuzzy system, the objective of this book is to design an H-infinity filter with the gain variations such that the filtering error system guarantees a prescribed H-infinity performance level. Furthermore, it demonstrates that the solution of non-fragile H-infinity filter design problem can be obtained by solving a set of linear matrix inequalities (LMIs). The intended audiences are graduate students and researchers both from the fields of engineering and mathematics. Dr. Xiao-Heng Chang is an Associate Professor at the College of Engineering, Bohai University, Jinzhou, Liaoning, China.

Fuzzy Systems And Knowledge Discovery

Author: Lipo Wang
Publisher: Springer Science & Business Media
ISBN: 3540459162
Size: 15.55 MB
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This book constitutes the refereed proceedings of the Third International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2006, held in federation with the Second International Conference on Natural Computation ICNC 2006. The book presents 115 revised full papers and 50 revised short papers. Coverage includes neural computation, quantum computation, evolutionary computation, DNA computation, fuzzy computation, granular computation, artificial life, innovative applications to knowledge discovery, finance, operations research, and more.