On the Observability and Detectability of Continuous-Time Markov Jump Linear Systems
SIAM Journal on Control and Optimization
Decentralized robust control of uncertain Markov jump parameter systems via output feedback
Automatica (Journal of IFAC)
Brief paper: Passivity-based control and synchronization of general complex dynamical networks
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Consensus problems with directed Markovian communication patterns
ACC'09 Proceedings of the 2009 conference on American Control Conference
Distributed robust filtering with H∞ consensus of estimates
Automatica (Journal of IFAC)
A Newton-like method for solving rank constrained linear matrix inequalities
Automatica (Journal of IFAC)
| Hi-index | 22.14 |
The paper considers a distributed robust estimation problem over a network with Markovian randomly varying topology. The objective is to deal with network variations locally, by switching observer gains at affected nodes only. We propose sufficient conditions which guarantee a suboptimal H"~ level of relative disagreement of estimates in such observer networks. When the status of the network is known globally, these sufficient conditions enable the network gains to be computed by solving certain LMIs. When the nodes are to rely on a locally available information about the network topology, additional rank constraints are used to condition the gains, given this information. The results are complemented by necessary conditions which relate properties of the interconnection graph Laplacian to the mean-square detectability of the plant through measurement and interconnection channels.