A unified framework is proposed to deal with the stability and stabilization problems of a general class of Markovian jump linear systems.
A systematic approach is used to deal with the instantly time varying probabilistic specifications of the Markovian jump linear systems.
Through signal processing techniques, the system is represented by a new associative model such that it is suitable for analysis and design purposes.
Robust stochastic controller is successfully designed for the system based on the new representation.
The unified framework is superior to the existing methods for dealing with the time-varying Markovian jump linear systems in case of conservativeness of the results.