2020
DOI: 10.1016/j.automatica.2020.108963
|View full text |Cite
|
Sign up to set email alerts
|

Stabilization of non-homogeneous hidden semi-Markov Jump systems with limited sojourn-time information

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
2

Citation Types

0
19
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 58 publications
(19 citation statements)
references
References 31 publications
0
19
0
Order By: Relevance
“…The H ∞ performance 46 of switched LPV system of quadrotors in a fixed time will also be considered. In addition, the proposed control method is expected to be extended to the stochastic switched systems [47][48][49] with application to the fault-tolerant control of quadrotors 27,28 in the future work.…”
Section: Discussionmentioning
confidence: 99%
“…The H ∞ performance 46 of switched LPV system of quadrotors in a fixed time will also be considered. In addition, the proposed control method is expected to be extended to the stochastic switched systems [47][48][49] with application to the fault-tolerant control of quadrotors 27,28 in the future work.…”
Section: Discussionmentioning
confidence: 99%
“…However, Lyapunov function ( 20) is not applicable to systems without time delays. More general and less conservative method to construct Lyapunov function for MJSSs driven by FBMs will be considered, and then extended to semi-Markovian jumping systems and hidden semi-Markovian jumping systems [25][26][27] in future.…”
Section: Discussionmentioning
confidence: 99%
“…However, due to the limitation of the existing technical implementation, this paper only considered the problem of stochastic consensus of networked Lagrangian systems with semi-Markov switching topologies with certain transition rates. For the future research work regarding networked semi-Markovian system on this issue, such as uncertain transition rates (Xu TB et al, 2019), limited sojourn-time information (Zhang et al, 2020), and so forth, though very challenging, would be expected for more systematic investigations from the view of hybrid multi-agent systems in practice.…”
Section: Discussionmentioning
confidence: 99%