Stability Analysis of FuzzyModelBased Control Systems: LinearMatrixInequality Approach (Studies in Fuzziness and Soft Comput,Used

Stability Analysis of FuzzyModelBased Control Systems: LinearMatrixInequality Approach (Studies in Fuzziness and Soft Comput,Used

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SKU: DADAX364217843X
Brand: Springer
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In this book, the stateoftheart fuzzymodelbased (FMB) based control approaches are covered. A comprehensive review about the stability analysis of type1 and type2 FMB control systems using the Lyapunovbased approach is given, presenting a clear picture to researchers who would like to work on this field. A wide variety of continuoustime nonlinear control systems such as statefeedback, switching, timedelay and sampleddata 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 wellperformed 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 FMBbased 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.

⚠️ WARNING (California Proposition 65):

This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.

For more information, please visit www.P65Warnings.ca.gov.

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