Controllability of linear deterministic and stochastic systems

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IEEE

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info:eu-repo/semantics/closedAccess

Abstract

The new necessary and sufficient conditions, which are formulated in terms of convergence of certain sequence of operators involving the resolvent of negative of controllability operator, are found for deterministic linear stationary control systems to be completely and approximately controllable, respectively. It is shown that the S -controllability of partially observable linear stationary control systems with additive Gaussian white noise disturbance, that is a property of attaining an arbitrarily small neighborhood of each point in the state space with a probability arbitrarily close to one, is equivalent to the approximate controllability of their deterministic part. Also, it is shown that the C -controllability of the same kind of systems, that is defined as S -controllability improved with some uniformity conditions, is equivalent to the complete controllability of their deterministic part.

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The 38th IEEE Conference on Decision and Control (CDC) --

Keywords

Approximation theory, Convergence of numerical methods, Equivalence classes, Integration, Linear control systems, Mathematical operators, Observability, Probability, State space methods, Stochastic control systems, White noise, Additive Gaussian white noise, Euclidean space, Hilbert space, Linear stationary control system, Controllability

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Proceedings of the IEEE Conference on Decision and Control

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4

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