Distributed filtering using set models

A distributed filtering algorithm using set models with confidence values is derived. No noise distribution statistics are needed. The only information required is the confidence values from which the modeling and measurement errors and the initial values are obtained. Therefore, the algorithm has great potential for real-world applications