Titlebook: Stability Analysis of Fuzzy-Model-Based Control Systems; Linear-Matrix-Inequa Hak-Keung Lam,Frank Hung-Fat Leung Book 2010 Springer Berlin

CLEAR

Chapter 2 Stability and Performance Conditions for MFSI State-Feedback FMB Control Systems,tematic and general framework that effectively separates the linear and nonlinear dynamics of the nonlinear plant. This semi-linear property of the TS fuzzy model allows some linear analysis and control approaches to be applied to facilitate the stability analysis and controller synthesis.

Cubicle

Chapter 4 BMI Stability Conditions for FMB Control Systems,ntroller not sharing the same premise membership functions. This class of FMB control systems has been extensively investigated recently. Based on the Lyapunov stability theory, LMI-based stability conditions were derived to guarantee the system stability and facilitate the synthesis of the fuzzy controller.

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Chapter 10 IT2 FMB Control Systems,g uncertainty information, the control problem cannot be handled directly if the nonlinear plant is subject to parameter uncertainties. In [18, 88, 89], a type-2 fuzzy logic system (FLS) was proposed to deal with uncertain grades of membership with type-2 fuzzy sets.

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Chapter 7 Fuzzy Combined Controller for Nonlinear Systems,ons of the fuzzy model. To deal with the parameter uncertainties, in this chapter, a TS fuzzy model subject to parameter uncertainties is proposed for doing the stability analysis. Stability conditions for this class of nonlinear systems were investigated in [74, 104].

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充滿裝飾

Hak-Keung Lam,Frank Hung-Fat Leungnd community..Finally, we will briefly explore other noteworthy elements from relevant research such as promoters of attraction and continued participation of virtual brand community members, e.g., agreements or social norms, usability, visual aesthetic, entertainment, quality and recommendations.

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