控制理论(社会学)
外稃(植物学)
跳跃
控制器(灌溉)
计算机科学
离散时间和连续时间
马尔可夫链
卡尔曼滤波器
数学
控制(管理)
量子力学
生物
农学
统计
机器学习
物理
人工智能
禾本科
生态学
作者
Xiaoli Luan,Haiying Wan,Fei Liu
标识
DOI:10.1080/00207721.2018.1543478
摘要
Under the framework of derandomisation approach, the state feedback control issues for both continuous-time and discrete-time Markov jump linear systems (MJLSs) are investigated to meet multiple performance objectives over multiple frequency ranges. Because of the stochastic jumping among different modes, the generalised Kalman–Yakubovic–Popov lemma-based finite-frequency controller design approach cannot be directly applied to MJLSs. To overcome this limitation, a derandomisation approach is established by transforming the original stochastic multiple modes systems to deterministic ones. Then the multiple frequency controllers for both discrete-time and continuous-time MJLSs are designed to guarantee the multiple performances of the closed-loop systems. To verify the effectiveness of the developed algorithms, examples are presented, where the performance requirements include specifications in low-frequency and high-frequency ranges, respectively.
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