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Variations in system parameters due to uncertainties may result in system performance deterioration. Uncertainties in modeling of structures are often considered to ensure that control system is robust with respect to parameter errors. The paper discusses the robustness check of the stability of vibration control systems with uncertain parameters. The uncertain parameters are described by interval...
In this paper we take advantage of the primary and dual Youla parameterizations for setting up a soft constrained model predictive control (MPC) scheme for which stability is guaranteed in face of norm-bounded uncertainties. Under special conditions guarantees are also given for hard input constraints. In more detail, we parameterize the MPC predictions in terms of the primary Youla parameter and...
The paper presents a smooth and simple robust tracking controller for a class of nonlinear systems with unmatched uncertainties. The designed controller can be the concrete expression including no Lyapunov functions and no norm computing in each step of control and can suppress forwardly the influence of uncertainties. The practical stability of output tracking error and the states of the corresponding...
A direct adaptive fuzzy predictive control method is presented for attitude tracking of satellites with model uncertainty and external disturbances in this paper. Firstly, a nonlinear predictive control law for general mechanical systems is derived. Then, the error in predictive control law from system model uncertainties are approximated and compensated by constructed adaptive fuzzy logic systems,...
This paper focuses in the design of an adaptive sliding mode control (SMC) for induction motor drives, that reduces the high frequency chattering that usually appears in the SMC schemes. The proposed design consist of a sliding mode control law that incorporates an adaptive switching gain. This adaptive switching gain avoids the need of calculating an upper limit of the system uncertainties as it...
This paper presents a numerical approach for the approximate observer error linearization technique of Kazantzis (1998) and Krener (2002), The proposed design procedure is based on the solution of a linear matrix equation that is obtained in explicit form. In addition, an alternative method for computing the change of coordinates and the output injection is developed that can be used to design regionally...
This paper presents stability analysis for the well known generalised predictive control (GPC) when dealing with different classes of uncertain systems namely systems with unmodelled poles, uncertain gains and uncertain poles. The proposed analysis is based on the explicit relation between the system transfer function and the step response coefficients. It reveals part of the mystery behind the stability...
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