Advances in the control of markov jump linear systems with no mode observation

• 作者： Vargas, Alessandro N., author.
• 其他作者：
  • Costa, Eduardo F., author.
  • Val, Joao B.R. do, author.
  • SpringerLink (Online service)
• 其他題名：
  • SpringerBriefs in electrical and computer engineering.
• 出版： Cham : Springer International Publishing :Imprint: Springer
• 叢書名： SpringerBriefs in electrical and computer engineering,
• 主題： Control theory. , Markov processes. , Engineering. , Control. , Systems Theory, Control. , Probability Theory and Stochastic Processes. , Operator Theory.
• ISBN： 9783319398358 (electronic bk.) 、 9783319398341 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Preliminaries -- Finite-Time Control Problem -- Approximation of the Optimal Long-Run Average-Cost Control Problem -- References.
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• 摘要註: This brief broadens readers' understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS) It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS. Particularly, it offers novel insights into the control of systems when the controller does not have access to the Markovian mode.
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