A gradient-based iterative algorithm for solving coupled Lyapunov equations of continuous-time Markovian jump systems
Autor: | Wang Kun, Liu Yaqiu, Zhao Huaqi |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: | |
Zdroj: | Automatika, Vol 60, Iss 4, Pp 510-518 (2019) |
Druh dokumentu: | article |
ISSN: | 0005-1144 1848-3380 00051144 |
DOI: | 10.1080/00051144.2019.1652406 |
Popis: | In this paper, a new gradient-based iterative algorithm is proposed to solve the coupled Lyapunov matrix equations associated with continuous-time Markovian jump linear systems. A necessary and sufficient condition is established for the proposed gradient-based iterative algorithm to be convergent. In addition, the optimal value of the tunable parameter achieving the fastest convergence rate of the proposed algorithm is given explicitly. Finally, some numerical simulations are given to validate the obtained theoretical results. |
Databáze: | Directory of Open Access Journals |
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