2023
DOI: 10.1002/asjc.3183
|View full text |Cite
|
Sign up to set email alerts
|

Input‐constrained optimal output synchronization of heterogeneous multiagent systems via observer‐based model‐free reinforcement learning

Abstract: This paper presents a new formulation of input‐constrained optimal output synchronization problem and proposes an observer‐based distributed optimal control protocol for discrete‐time heterogeneous multiagent systems with input constraints via model‐free reinforcement learning. First, distributed adaptive observers are designed for all agents to estimate the leader's trajectory without requiring its dynamics knowledge. Subsequently, the optimal control input associated with the optimal value function is derive… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 46 publications
(102 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?