Optimal distributed learning for disturbance rejection in networked non‐linear games under unknown dynamics-Reference-Cited by-同舟云学术

Optimal distributed learning for disturbance rejection in networked non‐linear games under unknown dynamics

Published:2019-11 Issue:17 Volume:13 Page:2838-2848
ISSN:1751-8644
Container-title:IET Control Theory & Applications
language:en
Short-container-title:IET Control Theory & Appl

Author:

Tatari Farzaneh¹,Vamvoudakis Kyriakos G.²,Mazouchi Majid³^ORCID

Affiliation:

1. Electrical Engineering DepartmentSemnan UniversitySemnanIran

2. Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of TechnologyAtlantaGA30332USA

3. Electrical Engineering DepartmentFerdowsi University of MashhadMashhadIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Control and Optimization,Computer Science Applications,Human-Computer Interaction,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-cta.2018.5832

Reference31 articles.

1. Distributed Event-Triggered Control for Multi-Agent Systems

2. Consensus of Multi-Agent Systems With General Linear and Lipschitz Nonlinear Dynamics Using Distributed Adaptive Protocols

3. Constructing consensus controllers for networks with identical general linear agents

4. Leaderless and Leader-Following Consensus With Communication and Input Delays Under a Directed Network Topology

5. Adaptive output stationary average consensus for heterogeneous unknown linear multi‐agent systems

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