Consensus-Based Linear and Nonlinear Filtering PROJECT TITLE :Consensus-Based Linear and Nonlinear FilteringABSTRACT: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. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest A Little Ingenuity Solves an Elephant-Sized Problem An Encryption Scheme Using Chaotic Map and Genetic Operations for Wireless Sensor Networks
