Ehsan Moshksar

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The parametric identification of models with uncertain time-varying parameters, especially for nonlinear systems, remains an open field of research. The desirable performance of the system depends, to some extent, on the accuracy of parameter estimation. In this research, the concept of invariant manifold is used to find an implicit mapping from known(More)
In this paper, the minimization of an unknown but measurable cost function using extremum-seeking control is considered. The main contribution of the paper is to formulate the extremum-seeking problem as a time-varying estimation problem. The concepts of invariant manifold and adaptive parameter update law are used for adaptive estimation of the timevarying(More)
In this paper a robust fuzzy sliding mode controller for concentration control of a certain continuous stirred tank reactor in the presence of measurements noise is proposed. An extended Kalman filter is used to estimate the concentrations in the reactor, which is frequently not available. This nonlinear controller can eliminate the chattering problem that(More)
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