Browsing by Subject "Interconnected systems"
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Item Open Access Decentralized stabilization of interconnected systems: Structural conditions(1992) Yu, R.; Sezer, M. E.A unified framework is provided for the design of high-gain decentralized controllers for the stabilization of several classes of interconnected systems. These classes are characterized in terms of the structure of the interconnections among the subsystems, and include all those known in the literature to be decentrally stabilizable. The simple decentralized stabilizability tests, on which the results are based, can also be used to check the stabilizability of individual interconnected systems that do not belong to any one of the classes considered.Item Open Access Global stabilization via local stabilizing actions(Institute of Electrical and Electronics Engineers, 2006) Özgüler, A. B.Stabilization of a linear, time-invariant system via stabilization of its main diagonal subsytems is the underlying problem in all diagonal dominance techniques for decentralized control. In these techniques as well as all Nyquist-based techniques, sufficient conditions are obtained under the assumption that the collection of the unstable poles of all diagonal subsystems is the same as the unstable poles of the overall system. We show that this assumption is by itself enough to construct a solution to the problem at least in cases where the diagonal subsystems have disjoint poles. © 2006 IEEE.Item Open Access Robust adaptive stabilization of a class of systems under structured nonlinear perturbations with application to interconnected systems(Taylor & Francis, 1996) Wei, R.; Sezer, M. Erol; Ocalı, OganThis paper presents a stabilization scheme for a dass of multi-input/multioutput systems with nonlinear additive perturbations using high-gain adaptive controllers The nominal system is assumed to satisfy some mild conditions required by standard adaptive control schemes, and the perturbations certian structural conditions. The controller is a dynamic output feedback containing a gain parameter, which is adjusted with a simple adaptation rule. The result is also applied to decentralized stabilization of a class of interconnected systems, where the interconnections are treated as perturbations to nominally decoupled subsystems.Item Open Access Robust sampled-data control(1995) Ocalı, OganRobust 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.Item Open Access Stability robustness analysis of linear systems(1990) Karan, MehmetIn this thesis, robustness of stability of linear, time-invariant, continuousand discrete-time systems is investigated. Only state-space models and additive perturbations are considered. Existing results concerning stability robustness of continuous-time systems, based on Liapunov approach and continuity of eigenvalues, are reviewed; and similar results for discretetime systems under single- and multi-parameter additive jDerturbations are derived. An inherent difficulty which originates from mixed linear and bilinear appearance of perturbation parameters in inequalities defining robustness regions of discrete-time systems is resolved by transforming the problem to robustness of a higher order continuous-time system. Finally, stability robustness of discrete-time interconnected systems is studied, and various approaches are compared.