$H_-$ Index for Linear Markov Jump Continous Stochastic Systems

Tianliang Zhang1, Feiqi Deng1, Weihai Zhang2

  • 1South China University of Technology
  • 2Shandong University of Science and Technology

Details

15:30 - 15:50 | Tue 20 Aug | Lau, 6-213 | TuC6.1

Session: Stochastic Systems

Abstract

This paper focuses on the problem of $H_-$ index for linear Markov jump stochastic systems. Firstly, a set of finite horizon backward generalized differential Riccati equations (GDREs) and a set of matrix inequalities are introduced. Then, based on the introduced backward GDREs and matrix inequalities, for nominal Markov jump linear time-varying stochastic systems, two necessary and sufficient conditions for thefinite horizon $H_-$ index largerthan a given prescribed level $beta>0$ are given. Secondly, considering Markov jump linear uncertain stochastic systems, we obtain two results about finite horizon $H_-$ index.