非线性系统
云计算
计算机科学
网络数据包
观察员(物理)
国家观察员
控制理论(社会学)
国家(计算机科学)
多智能体系统
理论(学习稳定性)
一致性(知识库)
控制(管理)
模型预测控制
方案(数学)
数学优化
人工智能
数学
算法
机器学习
操作系统
量子力学
物理
计算机网络
数学分析
作者
Yan Ju Peng,Hongjiu Yang,Chao Ge,Zheng Yao
摘要
Abstract In this article, predictive cloud control is investigated for nonlinear networked multiagent system (NMAS) with quantizers via extended state observer (ESO). Considering the network‐induced delays in NMAS, the cloud control scheme is designed. Then, arbitrary region quantizers are used to decrease the quantity of data packets. Moreover, the ESO that can estimate the state and uncertainty of nonlinear NMAS is used to obtain the prediction of data packets. Input‐to‐state stability (ISS) can guarantee the validity of ESO. Sufficient conditions that can achieve stability and consistency for NMAS are given by the zoom strategy. The significance of the scheme is verified by simulation results.
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