Stochastic Channel Allocation for Nonlinear Systems with Markovian Packet Dropout  

作　　者：LONG Yushen LIU Shuai XIE Lihua CHEN Jie 

机构地区：[1]School of Electrical and Electronic Engineering, Nanyang Technological University, 639798, Singapore [2]School of Control Science and Engineering, Shandong University, Jinan 250061, China [3]School of Automation, Beijing Institute of Technology, Beijing 100081, China

出　　处：《Journal of Systems Science & Complexity》2018年第1期22-37,共16页系统科学与复杂性学报（英文版）

基　　金：supported by the Energy Innovation Research Programme of Singapore under Grant No.NRF2013EWT-EIRP004-012;Qilu Youth Scholar Discipline Construction Funding from Shandong University;the National Natural Science Foundation of China(NSFC)under Grant Nos.61573220,61633014;Projects of Major International(Regional)Joint Research Program NSFC under Grant No.61720106011

摘　　要：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.

关 键 词：Markovian packet dropout model predictive control networked control systems nonlinear systems 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置] U455.4[自动化与计算机技术—控制科学与工程]