2021
DOI: 10.1016/j.automatica.2020.109157
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Static output feedback negative imaginary controller synthesis with an H norm bound

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Cited by 13 publications
(3 citation statements)
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“…The H 2 -norm guaranteed-performance SOF control for hidden Markov jump linear systems (HMJLS) is studied in [32], where the SOFs are parameterized via convex optimization with LMI constraints, under the assumptions of full-rank sensor matrices and an efficient and accurate Markov chain state estimator. In [33], an iterative LMI algorithm is proposed for the SOF problem for LTI continuous-time negative-imaginary (NI) systems with given H ∞ norm-bound on the closed loop, based on decoupling the dependencies between the SOF and the Lyapunov certificate matrix.…”
Section: Introductionmentioning
confidence: 99%
“…The H 2 -norm guaranteed-performance SOF control for hidden Markov jump linear systems (HMJLS) is studied in [32], where the SOFs are parameterized via convex optimization with LMI constraints, under the assumptions of full-rank sensor matrices and an efficient and accurate Markov chain state estimator. In [33], an iterative LMI algorithm is proposed for the SOF problem for LTI continuous-time negative-imaginary (NI) systems with given H ∞ norm-bound on the closed loop, based on decoupling the dependencies between the SOF and the Lyapunov certificate matrix.…”
Section: Introductionmentioning
confidence: 99%
“…The H 2 -norm guaranteed-performance SOF control for hidden Markov jump linear systems (HMJLS) is studied in [32], where the SOFs are parameterized via convex optimization with LMI constraints, under the assumptions of full-rank sensor matrices and an efficient and accurate Markov chain state estimator. In [33], an iterative LMI algorithm is proposed for the SOF problem for LTI continuous-time negative-imaginary (NI) systems with given H ∞ norm-bound on the closed loop, based on decoupling the dependencies between the SOF and the Lyapunov certificate matrix.…”
Section: Introductionmentioning
confidence: 99%
“…2,3,11 Along this line of research, NI synthesis problem attracted much attention. 1215 For example, Xiong et al 12 studied the output feedback NI synthesis problem under structural constraints; Ren et al 13 investigated the static output feedback NI synthesis problem with H performance; Liu et al 15 addressed the robust performance synthesis problem of systems with NI uncertainty; and Bhowmick and Patra 14 dealt with the dynamic output feedback NI synthesis problem in view of linear matrix inequality conditions. Moreover, Mabrok and Petersen 4 utilized a data-driven approach to study the controller synthesis problem of NI systems, and Liu and Xiong 16 dealt with state feedback synthesis problem of α-NI systems.…”
Section: Introductionmentioning
confidence: 99%