H∞ Model Approximation for Uncertain Stochastic Systems: Discrete-Time Case
This paper is concerned with the problem ofH∞ model approximation for discrete time systems that possess uncertain stochastic and time delay dependent parameters. In order to get a stable system, our attention is focused on the construction of reduced-order models, which guarantee the corresponding error system to be asymptotically stable and have a prescribed H∞ error performance. Sufficient conditions for the solvability of the problem is obtained via linear matrix inequalities (LMIs) and a coupling non-convex rank constraint set. An explicit parametrization of the desired reduced-order models is presented when these conditions are satisfied. Finally, a numerical example is given to illustrate the effectiveness of the proposed theories.
Model approximation stochastic system H∞ performance time-delay uncertainty discrete-time
TONG Dongbing ZHOU Wuneng GAO Yan JI Chuan
College of Information Science and Technology, Donghua University, Shanghai, 201620 P. R. China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
2571-2576
2012-07-01(万方平台首次上网日期,不代表论文的发表时间)