控制理论(社会学)
控制器(灌溉)
跳跃
分离原理
马尔可夫过程
功能(生物学)
二次方程
理论(学习稳定性)
数学优化
计算机科学
情态动词
数学
控制(管理)
人工智能
统计
物理
量子力学
非线性系统
机器学习
农学
国家观察员
生物
几何学
化学
进化生物学
高分子化学
作者
Guoliang Wang,Zhikang Zhu,Shixin Song
标识
DOI:10.23919/ccc58697.2023.10240266
摘要
The stability problem of continuous-time Markovian jump systems (MJSs) is studied. An optimal controller combination method is proposed, in which the number of controllers is less than the number of modes. A new algorithm based on modal segmentation is proposed, which optimizes the controller by minimizing the cost function value. The proposed cost function contains mixed decision variables, where the cost function is also uncorrelated with the traditional linear quadratic function. Through rigorous theoretical analysis, the solution method of the designed controller is established. The effectiveness and superiority of the proposed method are verified by an example.
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