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Fuzzy Systems with Applications to Modeling and Control of an Aircraft
Fuzzy Systems with Applications to Modeling and Control of an Aircraft
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This book focuses on developing a comprehensive methodology for designing interval type-3 fuzzy systems. It includes the robustness analysis of general type-2 fuzzy systems and presents a systematic approach to designing an interval type-2 Takagi-Sugeno (T-S) fuzzy model-based (FMB) flight control system, specifically tailored for Generic Aircraft and UAVs. A novel concept is introduced, where flight envelope parameters are mapped to serve as premise variables in the IT2 T-S fuzzy system. Fuzzy…

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This book focuses on developing a comprehensive methodology for designing interval type-3 fuzzy systems. It includes the robustness analysis of general type-2 fuzzy systems and presents a systematic approach to designing an interval type-2 Takagi-Sugeno (T-S) fuzzy model-based (FMB) flight control system, specifically tailored for Generic Aircraft and UAVs. A novel concept is introduced, where flight envelope parameters are mapped to serve as premise variables in the IT2 T-S fuzzy system. Fuzzy system theory is widely regarded for its effectiveness in system modeling and control design. Fuzzy controllers offer robust performance, nonlinear modeling capabilities, and other advanced features that exceed the capabilities of traditional control methods. They are particularly suited for managing complex dynamical systems, which are often subject to noise, dynamic changes, and imprecise models. This book focuses upon the application of fuzzy systems in aircraft and UAVs.

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This book focuses on developing a comprehensive methodology for designing interval type-3 fuzzy systems. It includes the robustness analysis of general type-2 fuzzy systems and presents a systematic approach to designing an interval type-2 Takagi-Sugeno (T-S) fuzzy model-based (FMB) flight control system, specifically tailored for Generic Aircraft and UAVs. A novel concept is introduced, where flight envelope parameters are mapped to serve as premise variables in the IT2 T-S fuzzy system. Fuzzy system theory is widely regarded for its effectiveness in system modeling and control design. Fuzzy controllers offer robust performance, nonlinear modeling capabilities, and other advanced features that exceed the capabilities of traditional control methods. They are particularly suited for managing complex dynamical systems, which are often subject to noise, dynamic changes, and imprecise models. This book focuses upon the application of fuzzy systems in aircraft and UAVs.

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