Passive gain-scheduling filtering for jumping linear parameter varying systems with fading channels based on the hidden Markov model

This work is aimed to address the passive gain-scheduling filtering problem for Markov jump linear parameter varying systems with fading channels. A hidden Markov process is employed to describe mode information exchange between the system and the presented filter. By the aid of stochastic analysis theory, some sufficient conditions for guaranteeing the existence of an available passive gain-scheduling filter are established. On the basis of the designed filter, the passivity of the filtering error system is ensured in the presence of randomly occurring fading channels. Finally, an explained example is put forward to verify the effectiveness of the filter.