PROJECT TITLE :
Consensus-Based Linear and Nonlinear Filtering
This note addresses Distributed State Estimation (DSE) over sensor networks. Two existing consensus approaches for DSE, i.e., consensus on information (CI) and consensus on measurements (CM), are combined to provide a unique category of hybrid consensus filters (named Hybrid CMCI) which fancy the complementary advantages of CM and CI. Novel theoretical results, limitedly to linear systems, on the guaranteed stability of the Hybrid CMCI filters under collective observability and network connectivity are proved. Finally, the effectiveness of the proposed category of consensus filters is evaluated on a target tracking case study with both linear and nonlinear sensors.
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