Salem Zerkaoui

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In this paper, stable indirect adaptive control with recurrent neural networks is presented for multi-input multi-output (MIMO) square non linear plants with unknown dynamics. The control scheme is made of a neural model and a neural controller based on fully connected RTRL networks. On-line weights updating law, closed loop performance, and boundedness of(More)
This paper presents the basis for the development of an intelligent and autonomous energy management strategy for Hybrid Power System(HPS). This strategy is designed by applying on-line Takagi-Sugeno fuzzy logic principles. As a result the fuzzy control system gets rid of the limits of the HPS, which has the imprecision, uncertainty, strong coupling and(More)
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