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The group sequence is a well-known proactive-reactive scheduling method that brings sequential flexibility to an initial schedule in order to absorb uncertainties. Hence, group sequence favors the cooperation between human and machine. This method guarantees a minimal quality corresponding to the worst-case. This indicator associated with the best-case schedule provides the decision maker two bounds...
We aim to design in the present paper an adaptive output feedback control scheme to address the tracking problem of an uncertain system having full relative degree in the presence of neglected dynamics and modelling errors. Then, the obtained controller is augmented by an online radial basis function neural network (RBF NN) that is used to adaptively compensate for the nonlinearity existing in the...
This paper deals with the problem of designing a new iterative learning control (ILC) for a class of strict-feedback nonlinear systems subject to both structured and unstructured uncertainties and dynamic disturbances. These systems are assumed to perform the same task repeatedly under alignment condition. Simple learning mechanisms are proposed to approximate the unknown nonlinear state-dependent...
This paper presents deals with uncertain description of a system for a type I diabetes mellitus patient under an intensive insulin treatment. The control algorithm employs a robust H∞ controller to regulate the blood glucose level in diabetic patients. Diabetes mellitus is a kind of chronic metabolic diseases in which body's blood glucose regulatory system doesn't function properly. In this study,...
This paper, deals with a new input-output sliding mode linearization control for induction motor combined with field oriented control (FOC). To control the speed and rotor flux modulus, we develop two loops. The first one, inner loop, allows to linearize the system by a choose of closed loop poles to achieve a good linearization. The choice of a particular sliding surface permits to create a link...
In this paper, μ-synthesis is used to design a robust voltage controller for the cascaded boost dc-dc converter in continues conduction mode. The open loop is analyzed using a nominal frequency transfer function. The state space averaging technique and a structured uncertainty modeling approach are used to develop the controller model. The D-K iteration method is used to design a robustly performing...
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