Reaching a stochastic consensus in the noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate

@article{Wang2016ReachingAS,
  title={Reaching a stochastic consensus in the noisy networks of linear MIMO agents: Dynamic output-feedback and convergence rate},
  author={Yunpeng Wang and Long Cheng and Chenguang Yang and Zengguang Hou and Mingjia Tan},
  journal={Science China Technological Sciences},
  year={2016},
  volume={59},
  pages={45-54}
}
This paper addresses the leader-following consensus problem of linear multi-agent systems (MASs) with communication noise. Each agent’s dynamical behavior is described by a linear multi-input and multi-output (MIMO) system, and the agent’s full state is assumed to be unavailable. To deal with this challenge, a state observer is constructed to estimate the agent’s full state. A dynamic output-feedback based protocol that is based on the estimated state is proposed. To mitigate the effect of… 
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