Robust Filtering of Systems Evolving on Tree with Energy Constraints

Abstract

In this paper we derive robust filtering algorithm for systems evolving on dyadic tree. It has been reported that such systems can capture quite rich phenomena. Our results include merge step at each scale which has no equivalent form in time domain state-space systems. We will derive our robust filtering with uncertain quantities that satisfy energy constraints. The derived algorithm will take the form of ML-filter on tree.