Guaranteed‐cost finite‐time consensus of multi‐agent systems via intermittent control
From MaRDI portal
Publication:6148838
DOI10.1002/mma.7806OpenAlexW3199639320MaRDI QIDQ6148838
Cao, Jinde, Unnamed Author, Yi-Ping Luo
Publication date: 12 January 2024
Published in: Mathematical Methods in the Applied Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/mma.7806
Adaptive control/observation systems (93C40) Linear systems in control theory (93C05) Multi-agent systems (93A16) Systems theory; control (93-XX)
Cites Work
- Unnamed Item
- Leader-following consensus of nonlinear multi-agent systems with mixed delays and uncertain parameters via adaptive pinning intermittent control
- Finite-time consensus algorithm for multi-agent systems with double-integrator dynamics
- Guaranteed cost consensus for multi-agent systems with time delays
- Distributed robust stabilization of linear multi-agent systems with intermittent control
- Guaranteed cost consensus for second-order multi-agent systems with heterogeneous inertias
- Decentralised coordination of a multi-agent system based on intermittent data
- Finite-time consensus of time-varying nonlinear multi-agent systems
- Distributed consensus of delayed multi-agent systems with nonlinear dynamics via intermittent control
- Consensus of second-order multi-agent systems with delayed nonlinear dynamics and intermittent communications
- Finite-time consensus control for second-order multi-agent systems without velocity measurements
- Linear Matrix Inequalities in System and Control Theory
- Uniformly Observable and Globally Lipschitzian Nonlinear Systems Admit Global Finite-Time Observers
- Guaranteed-Cost Consensus for Singular Multi-Agent Systems With Switching Topologies
- Consensus of Multiagent Systems and Synchronization of Complex Networks: A Unified Viewpoint
- Second-order consensus in multi-agent systems with nonlinear dynamics and intermittent control
This page was built for publication: Guaranteed‐cost finite‐time consensus of multi‐agent systems via intermittent control