Distributed average consensus with least-mean-square deviation
Journal of Parallel and Distributed Computing
State Agreement for Continuous-Time Coupled Nonlinear Systems
SIAM Journal on Control and Optimization
Reaching a Consensus in a Dynamically Changing Environment: A Graphical Approach
SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization
Average consensus problems in networks of agents with delayed communications
Automatica (Journal of IFAC)
Brief paper: Consensus protocols for discrete-time multi-agent systems with time-varying delays
Automatica (Journal of IFAC)
Brief paper: Convergence speed in distributed consensus over dynamically switching random networks
Automatica (Journal of IFAC)
IEEE Transactions on Signal Processing
Broadcast gossip algorithms for consensus
IEEE Transactions on Signal Processing
Average Consensus with Packet Drop Communication
SIAM Journal on Control and Optimization
SIAM Journal on Control and Optimization
Consensus for Networks with Unknown but Bounded Disturbances
SIAM Journal on Control and Optimization
Mean square convergence of consensus algorithms in random WSNs
IEEE Transactions on Signal Processing
Delay robustness in consensus problems
Automatica (Journal of IFAC)
Stochastic consensus over noisy networks with Markovian and arbitrary switches
Automatica (Journal of IFAC)
Randomized consensus algorithms over large scale networks
IEEE Journal on Selected Areas in Communications
Synchronization of multi-agent systems with delayed control input information from neighbors
Automatica (Journal of IFAC)
Distributed Consensus for Multiagent Systems with Communication Delays and Limited Data Rate
SIAM Journal on Control and Optimization
Journal of Intelligent and Robotic Systems
Continuous-time and sampled-data-based average consensus with logarithmic quantizers
Automatica (Journal of IFAC)
Hi-index | 22.15 |
This paper studies the distributed consensus problem for linear discrete-time multi-agent systems with delays and noises in transmission channels. Due to the presence of noises and delays, existing techniques such as the lifting technique and the stochastic Lyapunov theory are no longer applicable to the analysis of consensus. In this paper, a novel technique is introduced to overcome the difficulties induced by the delays and noises. A consensus protocol with decaying gains satisfying persistence condition is adopted. Necessary and sufficient conditions for strong consensus and mean square consensus are respectively given for non-leader-follower and leader-follower cases under a fixed topology. Under dynamically switching topologies and randomly switching topologies, sufficient conditions for strong consensus and mean square consensus are also obtained. Numerical examples are given to demonstrate the effectiveness of the proposed protocols.