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• W2034259773 abstract "This article deals with stochastic stability and optimal control for continuous-time Markov jump linear systems (MJLS). In the adopted model, the horizon of the problem is given by a stopping time representing the occurrence of a fix number N of failures or repair periods (T <sub xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>N</sub> ) after which the system is brought to a halt for maintenance. The stochastic stability in the appropriate sense is studied and a reconfigurable controller is derived at each jump time in the form of a linear feedback gain. The available information to the controller includes the imperfect knowledge of the jump state. In this framework, an optimal solution for the problem with complete Markov state observation, and a sub-optimal solution for the problem with incomplete state observation are presented. Both solutions are based on linear matrix inequalities (LMI)." @default.
• W2034259773 created "2016-06-24" @default.
• W2034259773 creator A5030449541 @default.
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• W2034259773 date "2013-12-01" @default.
• W2034259773 modified "2023-09-30" @default.
• W2034259773 title "Stochastic stability and optimal control for a class of continuous-time Markov jump linear systems with horizon defined by a stopping time" @default.
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• W2034259773 doi "https://doi.org/10.1109/cdc.2013.6761120" @default.
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