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Investigating the effects of time-delays on stochastic stability and designing l(1)-gain controllers for positive discrete-time Markov jump linear systems with time-delay

机译:研究时滞对随机稳定性的影响,并为具有时滞的正离散时间马尔可夫跳跃线性系统设计l(1)增益控制器

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This paper is concerned with stochastic stability, l(1)-gain performance analysis and positivity-preserving l(1)-gain controller design for a positive discrete-time Markov jump linear system with time-delay. First, necessary and sufficient conditions for stochastic stability of the system are derived by constructing a linear co-positive stochastic Lyapunov functional and establishing a system equation whose state variables consist of the mathematical expectation of the markovianized states and whose coefficient matrices depend on time-delay and the transition probability. It is revealed that stochastic stability of the positive discrete-time Markov jump linear system with time-delay is influenced by the size of time-delay and it is demonstrated by an example that the effect of time-delay on stochastic stability can be either positive or negative. Second, exact computation on an l(1)-gain index of a stochastically stable positive discrete-time Markov jump linear system with time-delay is presented, and a necessary and sufficient condition for the l(1)-gain performance is derived in the form of linear programming. Third, an iterative algorithm is proposed to design a positivity-preserving l(1)-gain controller, and in single-input case, an optimal controller is obtained analytically such that the closed-loop system achieves the minimal l(1)-gain performance. Then, a modified pest's structured population dynamic model is developed to illustrate the effectiveness of the designed method. (C) 2016 Elsevier Inc. All rights reserved.
机译:本文涉及具有时滞的正离散时间马尔可夫跳跃线性系统的随机稳定性,l(1)增益性能分析和保正性l(1)增益控制器设计。首先,通过构造线性共正随机Lyapunov泛函并建立系统方程来建立系统随机稳定性的充要条件,该系统方程的状态变量包括马尔可夫化态的数学期望,并且系数矩阵取决于时间延迟和过渡概率。结果表明,具有时滞的正离散离散马尔可夫跳跃线性系统的随机稳定性受时延大小的影响,并通过一个实例证明了时滞对随机稳定性的影响既可以是正的,也可以是正的。或否定的。其次,给出了具有时滞的随机稳定正离散时间马尔可夫跳跃线性系统的l(1)增益指数的精确计算,并推导了l(1)增益性能的充要条件。线性规划的形式。第三,提出了一种迭代算法来设计一个保持正性的l(1)增益控制器,在单输入情况下,通过解析获得了最优控制器,使得闭环系统实现了最小的l(1)增益。性能。然后,开发了一种经过修改的有害生物的结构化种群动态模型,以说明所设计方法的有效性。 (C)2016 Elsevier Inc.保留所有权利。

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