2014
DOI: 10.1049/iet-cta.2014.0420
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Mixed H 2 / H control of time‐varying stochastic discrete‐time systems under uniform detectability

Abstract: This study is concerned with the infinite horizon H 2 /H ∞ control of time-varying stochastic discrete-time systems with state and disturbance dependent noise. The notion of uniform detectability for time-varying stochastic discrete-time systems is introduced, and some good properties are derived. Under uniform detectability, a necessary and sufficient condition for the existence of time-varying stochastic H 2 /H ∞ control is presented, which transforms the design of H 2 /H ∞ control into the solvability of co… Show more

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Cited by 11 publications
(15 citation statements)
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“…appeared in the proof of Lemma 1-(ii) in [1]? In general, the rightness of Lemma 1 [1] needs a complete proof.…”
Section: Analysis and Correctionsmentioning
confidence: 99%
See 2 more Smart Citations
“…appeared in the proof of Lemma 1-(ii) in [1]? In general, the rightness of Lemma 1 [1] needs a complete proof.…”
Section: Analysis and Correctionsmentioning
confidence: 99%
“…
This note first points out some errors of the above mentioned paper [1], and then presents a complete proof for Lemma 1-(i) in [1].
…”
mentioning
confidence: 95%
See 1 more Smart Citation
“…The robust stabilisation and robust H control were considered for discrete‐time stochastic systems with time‐varying delays, and a linear matrix inequality approach was provided to solve these two problems in [2]. In [3], the infinite horizon mixed H2/H control was solved for time‐varying stochastic discrete‐time systems under uniform detectability. A linear matrix inequality approach was developed for almost sure stabilisation of linear discrete‐time stochastic systems in [4].…”
Section: Introductionmentioning
confidence: 99%
“…Similarly in [8], with these two notations the discrete‐time stochastic Lyapunov matrix equations were also investigated. In [3], the concept of uniform detectability was introduced for discrete time‐varying stochastic linear systems, and then a criterion was established in terms of a sequence of stochastic Lyapunov matrix equations.…”
Section: Introductionmentioning
confidence: 99%