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A delay-dependent functional observer is designed for linear time-invariant (LTI) systems with time-varying input delay. Compared to delay-free observers, delay-dependent functional observers are less conservative and cover more systems. The designed functional observer is with minimum possible order (minimal). Necessary and sufficient conditions of the existence of the observer and asymptomatic stability...
Supervised fault detection and fault diagnosis are the techniques for recognizing small faults with abrupt or incipient time behavior in closed loops. Thus the acquired data scale and software scale became more and more huge that active fault diagnosis treats with the data hardly. After decades of Artificial Intelligence development, AI technology has achieved significant results. Machine learning...
The objective of this paper is to use the T-S fuzzy bilinear model to describe nonlinear system with high accuracy and with as fewer IF-THEN rules as possible via input/output data which collect from original nonlinear system and fuzzy c-regression models (FCRM) clustering algorithm applied to bilinear models. A novel cluster validity criterion suitable for the bilinear models will be presented. The...
The objective of this paper is to use the T-S fuzzy bilinear model to describe nonlinear system with high accuracy and with as fewer IF-THEN rules as possible via input and output data which collect from original nonlinear system. A new cluster validity criterion suitable for the bilinear models will be presented. The simulation example is provided to demonstrate the accuracy of the fuzzy bilinear...
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