控制理论(社会学)
跳跃
数学
类型(生物学)
相(物质)
隐马尔可夫模型
马尔可夫链
能量(信号处理)
线性系统
马尔可夫过程
控制(管理)
计算机科学
物理
统计
数学分析
人工智能
生态学
量子力学
生物
作者
O.L.V. Costa,André M. de Oliveira
出处
期刊:IEEE Transactions on Automatic Control
[Institute of Electrical and Electronics Engineers]
日期:2024-01-01
卷期号:: 1-8
标识
DOI:10.1109/tac.2024.3398557
摘要
This paper studies the $L_{2}-L_{\infty }$ (also known as energy-to-peak) static output feedback control for continuous-time semi-Markov jump systems, with the jump times modeled through phase-type (PH) distributions. It is also assumed that the post-jump state variable of the semi-Markov model is not directly accessible and the controller has only access to an observed process related to this variable. The goal is to provide sufficient conditions for the design of static output feedback controllers satisfying an upper bound on the $L_{2}-L_{\infty }$ ratio in terms of Linear Matrix Inequalities (LMIs). Moreover, in order to reduce the $L_{2}-L_{\infty }$ upper bound ratio, a coordinate descent algorithm is also presented, starting from a feasible solution for the LMIs restrictions. Numerical examples are presented to illustrate the results.
科研通智能强力驱动
Strongly Powered by AbleSci AI