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Robert Shorten

Researcher at Imperial College London

Publications -  474
Citations -  10148

Robert Shorten is an academic researcher from Imperial College London. The author has contributed to research in topics: Linear system & Lyapunov function. The author has an hindex of 43, co-authored 454 publications receiving 8968 citations. Previous affiliations of Robert Shorten include Maynooth University & National University of Ireland.

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Stability Criteria for Switched and Hybrid Systems

TL;DR: This paper considers the stability of switched systems in which there are constraints on the switching rules, through both dwell-time requirements and state-dependent switching laws, and discusses the theory of Lyapunov functions and the existence of converse theorems.
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A positive systems model of TCP-like congestion control: asymptotic results

TL;DR: It is shown that the theory of nonnegative matrices may be employed to model communication networks that employ drop-tail queueing and Additive-Increase Multiplicative-Decrease (AIMD) congestion control algorithms and these results can be used to develop tools for analyzing the behavior of AIMD communication networks.
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On Linear Copositive Lyapunov Functions and the Stability of Switched Positive Linear Systems

TL;DR: This work presents a necessary and sufficient condition for the existence of a common linear copositive Lyapunov function existence for switched systems with two constituent linear time-invariant systems.
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On the Stability of Switched Positive Linear Systems

TL;DR: This note shows that the Hurwitz stability of the convex hull of a set of Metzler matrices is a necessary and sufficient condition for the asymptotic stability for the associated switched linear system under arbitrary switching.
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On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models

TL;DR: There exists a close relationship between dynamic Takagi-Sugeno fuzzy models and dynamic linearization when using affine local model structures, which suggests that a solution to the multiobjective identification problem exists, but it is also shown that the affineLocal model structure is a highly sensitive parametrization when applied in transient operating regimes.