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Fatma Ezzahra RHILI received her PhD degree in electrical engineering in 2020 from the National School of Engineers of Gabes, Tunisia. Currently, i am working on Stability analysis for nonlinear systems. She is an associate researcher in the Research Laboratory of Numerical Control of Industrial Processes at the National School of Engineers of Gabes, Tunisia. Her main research interests include nonlinear process identification, neural emulation, fuzzy logic and adaptive control.
In this paper, a stability analysis strategy of nonlinear control systems is proposed. An adaptive neural control scheme composed of an emulator, and a controller with decoupled adaptive rates is considered. A Lyapunov function based on tracking error dynamic is retained and an online adjusting technique of the neural controller adaptive rate is ad...
In this study, an adaptive control based on fuzzy adapting rate for neural emulator of nonlinear systems having unknown dynamics is proposed. The indirect adaptive control scheme is composed by the neural emulator and the neural controller which are connected by an autonomous algorithm inspired from the real-time recurrent learning. In order to ens...
This paper deals with a new fuzzy adapting rate for a neural emulator of nonlinear systems with unknown dynamics. This method is based on an online intelligent adaptation by using a fuzzy supervisor. The satisfactory obtained simulation results are compared with those registered in the case of the classical choice of adapting rate and show very goo...