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Journal of Systems Science and Complexity

, Volume 31, Issue 1, pp 22–37 | Cite as

Stochastic Channel Allocation for Nonlinear Systems with Markovian Packet Dropout

  • Yushen LongEmail author
  • Shuai Liu
  • Lihua Xie
  • Jie Chen
Article

Abstract

This paper addresses a channel scheduling problem for group of dynamically decoupled nonlinear subsystems with actuators connected through digital communication channels and controlled by a centralized controller. Due to the limited communication capacity, only one channel can be activated and hence there is only one pair of sensor and actuator can communicate with the controller at each time instant. In addition, the communication channels are not reliable so Markovian packed dropout is introduced. A predictive control framework is adopted for controller/scheduler co-design to alleviate the performance loss caused by the limited communication capacity. Instead of sending a single control value, the controller sends a sequence of predicted control values to a selected actuator so that there are control input candidates which can be fed to the subsystem when the actuator does not communicate with the controller. A stochastic algorithm is proposed to schedule the usage of the communication medium and sufficient conditions on stochastic stability are given under some mild assumptions.

Keywords

Markovian packet dropout model predictive control networked control systems nonlinear systems 

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Copyright information

© Institute of Systems Science, Academy of Mathematics and Systems Science, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.School of Electrical and Electronic EngineeringNanyang Technological UniversitySingaporeSingapore
  2. 2.School of Control Science and EngineeringShandong UniversityJinanChina
  3. 3.School of AutomationBeijing Institute of TechnologyBeijingChina

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