Information Sciences—Informatics and Computer Science: An International Journal
Robust stability of uncertain discrete-time singular fuzzy systems
Fuzzy Sets and Systems
Engineering Applications of Artificial Intelligence
The stability criterions for fuzzy descriptor systems with time-delay
Control and Intelligent Systems
Delay-dependent non-fragile H∞ control for fuzzy descriptor time-delay systems
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 6
IEEE Transactions on Fuzzy Systems
Practical stability analysis and synthesis of a class of uncertain t-s fuzzy systems
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
Engineering Applications of Artificial Intelligence
Robust observer-based output feedback control for fuzzy descriptor systems
Expert Systems with Applications: An International Journal
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This paper defines a fuzzy descriptor system by extending the ordinary Takagi-Sugeno (T-S) fuzzy model. Several kinds of stability conditions for the fuzzy descriptor system are derived and represented in terms of linear matrix inequalities (LMIs). We illustrate an example of defining the fuzzy descriptor system instead of the ordinary T-S fuzzy model. An LMI design approach is employed to find stable feedback gains and a common Lyapunov function. In addition, this paper presents a nonlinear model following control for the fuzzy descriptor system. A new parallel distributed compensation, the so-called “twin parallel distributed compensations” (TPDC) to realize the nonlinear model following control, is proposed. We present a design technique based on the TPDC. The proposed method is a unified approach to nonlinear model following control. It contains the regulation and servo control problems as special cases