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• W7984356 abstract "In traditional control, system’s sensory information is assumed to be available for control purposes in real time and continuously, for any t, although, in practice, these conditions are not usually satisfied. Actually, in many situations, delays may be so small, compared with the time constants of the systems at issue, that they can be safely ignored and sampling frequencies may be so high that continuous signals can be accurately reconstructed from sampled data. However, when there are limitations on the information’s transmission rate and on the band occupancy, like in networked systems, delays cannot be neglected and the information flow cannot be assumed to be continuous. This dissertation investigates the stability properties of a controlled plant in which signals can be transferred from the controller’s level to the plant’s level continuously, while information can be fed back from the plant’s level to the controller’s level only at sampling times. As frequently happens in application, one cannot assume a complete knowledge of the plant’s dynamics, but only that a model of it is available for control purposes. In such situations, sampled information coming from the plant and information coming from the model can be used to synthesize the control signal in a suitable model-based feedback control scheme. The results one would like to obtain concern the maximum length of the sampling interval for which the stabilizing performances of a given control scheme can be assured. The problem was previously considered, under analogous assumptions, by L.Montestruque and P.J.Antsaklis, who developed the Model-Based control scheme for Networked Systems (Model-Based iii Networked Control System or MB-NCS) for linear dynamics and for particular nonlinear dynamics with vanishing perturbation. In MB-NCS a model is used to simulate the plant evolution between transmission instants when no information about the plant is available. The aim of this dissertation is to present the MBNCS approach and to extend it to more general type of nonlinear plants and problems. The stability analysis of particular and general nonlinear MB-NC systems is carried out, for various types of perturbations and in the presence of disturbances. Under suitable hypotheses on the plant’s dynamics, the perturbation entity, the control performances and the length of the sampling period, sufficient conditions for semiglobal uniform boundedness or semiglobal asymptotical stability have been found." @default.
• W7984356 created "2016-06-24" @default.
• W7984356 creator A5035664587 @default.
• W7984356 date "2011-09-07" @default.
• W7984356 modified "2023-09-26" @default.
• W7984356 title "Control of nonlinear systems with limited information" @default.
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