Browsing by Subject "Sampled-data control"

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    Adaptive decentralized control of interconnected systems
    (Watam Press, 2004) Sezer, M. E.; Altunel, H.
    This paper presents a decentralized adaptive stabilization scheme for a class of interconnected systems using high-gain adaptive controllers. The nominal subsystems are assumed to satisfy some mild conditions required by standard adaptive control schemes, and the interconnections certain structural conditions. The decentralized controllers are high-gain dynamic systems operating on local outputs to generate local control inputs. Both continuous-time and sampled-data controllers are considered. The idea behind the design of continuous-time controllers is the small-gain theorem. The sampled-data controllers are discrete versions of the continuous-time controllers, where local sampling frequencies of the controllers also serve as their gains. The controllers are synchronized by a careful choice of their sampling frequencies. In order to guarantee closed-loop stability when the interconnection bounds are unknown, controller gains are increased, using simple centralized adaptation rule, to sufficiently high values as required by the strength of interconnections. The results are illustrated by a practical example.
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    Robust sampled-data control
    (1995) Ocalı, Ogan
    Robust control of uncertain plants is a major area of interest in control theory. In this dissertation, robust stabilization of plants under various classes of structural perturbations using sampled-data controllers is considered. It is shown that a controllable system under bounded perturbations that satisfy certain structural conditions can be stabilized using high-gain sampled-data state feedback control, provided that the sampling period is sufficiently small, with generalizations to decentralized control of interconnected systems. This result is then modified so as to enable adapting the gain and the sampling periods of controllers online. Finally another design methodology is given which enables the controllers to operate on the sampled values of output only, instead of full state measurements.