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Observability and Controllability Analysis of Linear Systems Subject to Data Losses

Jungers, Raphael M and Kundu, Atreyee and Heemels, WPMH (2018) Observability and Controllability Analysis of Linear Systems Subject to Data Losses. In: IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 63 (10). pp. 3361-3376.

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Official URL: http://dx.doi.org/10.1109/TAC.2017.2781374

Abstract

We provide algorithmically verifiable necessary and sufficient conditions for fundamental system theoretic properties of discrete-time linear, systems subject to data losses. More precisely, the systems in our modeling framework are subject to disruptions (data losses) in the feedback loop, where the set of possible data loss sequences is captured by an automaton. As such, the results are applicable in the context of shared (wireless) communication networks and/or embedded architectures where some information on the data loss behavior is available a priori. We propose an algorithm for deciding observability (or the absence of it) for such systems, and show how this algorithm can be used also to decide other properties including constructibility, controllability, reachability, null-controllability, detectability, and stabilizability by means of relations that we establish among these properties. The main apparatus for our analysis is the celebrated Skolem's Theorem from Linear Algebra. Moreover, we study the relation between the model adopted in this paper and a previously introduced model where, instead of allowing dropouts in the feedback loop, one allows for time-varying delays.

Item Type: Journal Article
Publication: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Additional Information: Copy right for this article belong to IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords: Automaton; constrained switched system; controllability; data losses; observability; wireless control
Department/Centre: Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems
Date Deposited: 25 Oct 2018 14:31
Last Modified: 25 Oct 2018 14:31
URI: http://eprints.iisc.ac.in/id/eprint/60948

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