{"product_id":"fuzzy-control-isbn-9780471986317","title":"Fuzzy Control","description":"Fuzzy Control Synthesis and Analysis Edited by Shehu S. Farinwata Ford Motor Company, Research Laboratory, Dearborn, Michigan, USA Dimitar Filev Ford Motor Company, AMTDC, Redford, Michigan, USA Reza Langari Texas A \u0026amp; M University, College Station, Texas, USA Fuzzy techniques are used to cope with imprecision in the basic elements of a process under control. Written by an international team of researchers this edited volume covers the modeling, analysis and synthesis of fuzzy control systems. Features include:\u003cbr\u003e ? Comprehensive coverage of fuzzy dynamical systems, robustness, stability and sensitivity -- giving the reader a good grasp of the fundamentals of fuzzy control\u003cbr\u003e ? Focus on the analytical structures of new fuzzy modeling approaches based on the Takagi-Sugeno-Kang (TSK) or Takagi-Sugeno (TS) model\u003cbr\u003e ? Applications of fuzzy control to aircraft systems, rocket engines and automotive engines\u003cbr\u003e ? Problems and examples illustrating how fuzzy approaches may be applied to the modeling, analysis and synthesis of closed-loop systems\u003cbr\u003e Design and control engineers will value the advanced control techniques and new design and analysis tools presented. Postgraduates studying fuzzy control will find this book a useful reference on synthesis, systems analysis and advanced nonlinear control methods.Steuerungstechnologien, die mit Fuzzy Logic arbeiten, drängen gegenwärtig verstärkt aus den Entwicklungslabors auf den Anwendungsmarkt. Von besonderem Interesse sind dabei neue und ältere Forschungsrichtungen der Synthese, der Analyse von Stabilität und Robustheit, der Adaptierbarkeit sowie der nichtlinearen Verfolgung. Dieses Werk behandelt die synthetischen und dynamischen Eigenschaften von Fuzzy-Logic-Systemen auf quantitative Weise. (01\/00)  MODELING.\u003cbr\u003e \u003cbr\u003e Information Granularity in the Analysis and Design of Fuzzy Controllers.\u003cbr\u003e \u003cbr\u003e Fuzzy Modeling for Predictive Control.\u003cbr\u003e \u003cbr\u003e Adaptive and Learning Schemes for Fuzzy Modeling.\u003cbr\u003e \u003cbr\u003e Fuzzy System Identification with General Parameter Radial Basis Function Neural Network.\u003cbr\u003e \u003cbr\u003e ANALYSIS.\u003cbr\u003e \u003cbr\u003e Lyapunov Stability Analysis of Fuzzy Dynamic Systems.\u003cbr\u003e \u003cbr\u003e Passivity and Stability of Fuzzy Control Systems.\u003cbr\u003e \u003cbr\u003e Frequency Domain Analysis of MIMO Fuzzy Control Systems.\u003cbr\u003e \u003cbr\u003e Analytical Study of Structure of a Mamdani Fuzzy Controller with Three Input Variables.\u003cbr\u003e \u003cbr\u003e An Approach to the Analysis of Robust Stability of Fuzzy Control Systems.\u003cbr\u003e \u003cbr\u003e Fuzzy Control Systems Stability Analysis with Application to Aircraft Systems.\u003cbr\u003e \u003cbr\u003e SYNTHESIS.\u003cbr\u003e \u003cbr\u003e Observer-Based Controller Synthesis for Model-Based Fuzzy Systems via Linear Matrix Inequalities.\u003cbr\u003e \u003cbr\u003e LMI-Based Fuzzy Control: Fuzzy Regulator and Fuzzy Observer Design via LMIs.\u003cbr\u003e \u003cbr\u003e A Framework for the Synthesis of PDC-Type Takagi-Sugano Fuzzy Control Systems: An LMI Approach.\u003cbr\u003e \u003cbr\u003e On Adaptive Fuzzy Logic Control on Non-linear Systems--Synthesis and Analysis.\u003cbr\u003e \u003cbr\u003e Stabilization of Direct Adaptive Fuzzy Control Systems: Two Approaches.\u003cbr\u003e \u003cbr\u003e Gain Scheduling Based Control of a Class of TSK Systems.\u003cbr\u003e \u003cbr\u003e Output Tracking Using Fuzzy Neural Networks.\u003cbr\u003e \u003cbr\u003e Fuzzy Life-Extending Control of Mechanical Systems.\u003cbr\u003e \u003cbr\u003e Epilogue.\u003cbr\u003e \u003cbr\u003e Index.  \"Design and control engineers will value the advanced control techniques, new design and analysis tools presented. Post-graduates...a useful reference.\" (Engineering Design, July 2000)\u003cbr\u003e \u003cbr\u003e \"...a good read...it boldly tackles the stability issue of fuzzy control systems...\" (Measurement and Control, October 2000)\u003cbr\u003e \u003cbr\u003e \"Design and control engineers will value the advanced control techniques and new design and analysis tools presented. Postgraduates studying fuzzy control will find this book a useful reference....\" (European Power Electronics \u0026amp; Drives Journal September 2001)  \u003cp\u003eShehu S. Farinwata and Dimitar P. Filev are the authors of Fuzzy Control: Synthesis and Analysis, published by Wiley.   Fuzzy Control Synthesis and Analysis Edited by Shehu S. Farinwata Ford Motor Company, Research Laboratory, Dearborn, Michigan, USA Dimitar Filev Ford Motor Company, AMTDC, Redford, Michigan, USA Reza Langari Texas A \u0026amp; M University, College Station, Texas, USA Fuzzy techniques are used to cope with imprecision in the basic elements of a process under control. Written by an international team of researchers this edited volume covers the modeling, analysis and synthesis of fuzzy control systems. Features include:\u003cbr\u003e * Comprehensive coverage of fuzzy dynamical systems, robustness, stability and sensitivity - giving the reader a good grasp of the fundamentals of fuzzy control\u003cbr\u003e * Focus on the analytical structures of new fuzzy modeling approaches based on the Takagi-Sugeno-Kang (TSK) or Takagi-Sugeno (TS) model\u003cbr\u003e * Applications of fuzzy control to aircraft systems, rocket engines and automotive engines\u003cbr\u003e * Problems and examples illustrating how fuzzy approaches may be applied to the modeling, analysis and synthesis of closed-loop systems\u003cbr\u003e Design and control engineers will value the advanced control techniques and new design and analysis tools presented. Postgraduates studying fuzzy control will find this book a useful reference on synthesis, systems analysis and advanced nonlinear control methods.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989268447461,"sku":"NP9780471986317","price":204.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780471986317.jpg?v=1761783451","url":"https:\/\/k12savings.com\/products\/fuzzy-control-isbn-9780471986317","provider":"K12savings","version":"1.0","type":"link"}