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We study in this paper the problem of adaptive trajectory tracking control for nonlinear systems affine in the control with time-varying parametric uncertainties. We propose to use a modular approach, in the sense that we first design a robust nonlinear state feedback which renders the closed loop input to state stable (ISS) between an estimation error of the uncertain parameters and an output tracking...
Robust optimization, as a powerful paradigm for optimization under uncertainty, has recently attracted increasing attention in power system operations. In particular, adaptive robust optimization models have been proposed for the day-ahead unit commitment as well as real-time economic dispatch problems in power systems with a high penetration level of renewable energy sources. In this paper, we review...
It is seen that methodology for diagnosis of uncertain systems using the Bond Graph (BG) model in Linear Fractional Transformation (LFT) form is an effective way to detect the fault by systematic generation of robust adaptive thresholds over the nominal residuals. There are limitations associated, many of which are imposed due to the manner uncertain parameters can be treated. In this work, a new...
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