具有方向时滞的二维马尔可夫跳变正系统的l1增益控制器设计

l1-Gain Controller Design for 2-D Markov Jump Positive Systems With Directional Delays

IEEE Transactions on Systems, Man, and Cybernetics: Systems · 2022
被引 24
ABS 3

中文导读

研究了基于Roesser模型的二维马尔可夫跳变正系统的随机稳定性与l1增益控制,给出了稳定性充要条件及控制器设计方法,并用算例验证。

Abstract

This article is concerned with the stochastic stability and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$l_{1}$ </tex-math></inline-formula> -gain control of two-dimensional (2-D) positive Markov jump systems (PMJSs) with directional delays based on the Roesser model. First, necessary and sufficient conditions (NSCs) for the stochastic stability of the addressed system are established by constructing a deterministic “equivalent” system and applying a stochastic copositive Lyapunov function. This reveals that the stochastic stability of 2-D PMJSs with delays is affected by the size of directional delays, the transition matrix, and system matrices. Second, the exact <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$l_{1}$ </tex-math></inline-formula> -gain index is calculated and NSCs in the form of linear programming (LP) are established for the addressed system. Systematic methods for the <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$l_{1}$ </tex-math></inline-formula> -gain controller design are proposed so that the closed-loop system (CLS) is positive and stochastically stable and has an optimal <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$l_{1}$ </tex-math></inline-formula> -gain performance, which is achieved using an iterative algorithm and an analytical calculation method for a single-input case. Finally, the potency and accuracy of the theoretical results are verified using two examples.

控制理论随机系统正系统时滞系统