电子科技2025，Vol.38Issue(9)：41-48,8.DOI:10.16180/j.cnki.issn1007-7820.2025.09.006
循环协议下线性系统的概率约束模型预测控制
Probability Constrained Model Predictive Control of Linear Systems under Round-Robin Protocol
摘要
Abstract
In view of the discrete time linear time-invariant systems with additive noise and probability con-straints in the network environment,a probability-constrained predictive control method combined with cyclic proto-cols is proposed.The proposed method sends transmission information from the controller to the actuator in a prede-termined order with equal weights,reducing network congestion and data conflicts during signal transmission in net-work environments.By using the maximum probability set method to find the maximum boundary value that satisfies the probability constraint,the randomness description in the constraint conditions is transformed into a deterministic description,which improves the solvability of the algorithm.According to the properties of random variables and off-line calculation,the search matrix of the boundary of the probability set is obtained,and the probability boundary values in the constraint conditions are determined according to the search matrix.This method not only reduces the a-mount of online computation in the process of solving,but also ensures the recursive feasibility of the algorithm.The effectiveness of the proposed strategy is verified by an example simulation of a room temperature control system.关键词
随机模型预测控制/循环协议/概率约束/加性噪声/最大概率集/单变量卷积Key words
stochastic model predictive control/round-robin protocol/probability constraints/additive noise/maximum probability set/univariate convolution分类
信息技术与安全科学引用本文复制引用
杨文奇,李明..循环协议下线性系统的概率约束模型预测控制[J].电子科技,2025,38(9):41-48,8.基金项目
国家自然科学基金(62073223) （62073223）
上海市自然科学基金(22ZR1443400) （22ZR1443400）
江苏省高等学校自然科学研究项目(23KJB520006)National Natural Science Foundation of China(62073223) （23KJB520006）
Natural Science Foundation of Shanghai(22ZR1443400) （22ZR1443400）
Nature Science Founda-tion of Jiangsu Higher Education Institutions(23KJB520006) （23KJB520006）
