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作 者:Yuhan Zhang Zidong Wang Lei Zou Yun Chen Guoping Lu
机构地区:[1]the College of Electrical Engineering and Automation,Shandong University of Science and Technology,Qingdao 266590,China [2]IEEE [3]the Department of Computer Science,Brunel University,UB83PH,United Kingdom [4]the College of Information Science and Technology,Donghua University,Shanghai 201620 [5]the Engineering Research Center of Digitalized Textile and Fashion Technology,Ministry of Education,Shanghai 201620,China [6]the School of Automation,Hangzhou Dianzi University,Hangzhou 310018,China [7]the School of Electrical Engineering,Nantong University,Nantong 226019,China
出 处:《IEEE/CAA Journal of Automatica Sinica》2024年第7期1566-1578,共13页自动化学报(英文版)
基 金:supported in part by the National Natural Science Foundation of China (61933007,62273087,U22A2044,61973102,62073180);the Shanghai Pujiang Program of China (22PJ1400400);the Royal Society of the UK;the Alexander von Humboldt Foundation of Germany。
摘 要:This paper concerns ultimately bounded output-feedback control problems for networked systems with unknown nonlinear dynamics. Sensor-to-observer signal transmission is facilitated over networks that has communication constraints.These transmissions are carried out over an unreliable communication channel. In order to enhance the utilization rate of measurement data, a buffer-aided strategy is novelly employed to store historical measurements when communication networks are inaccessible. Using the neural network technique, a novel observer-based controller is introduced to address effects of signal transmission behaviors and unknown nonlinear dynamics.Through the application of stochastic analysis and Lyapunov stability, a joint framework is constructed for analyzing resultant system performance under the introduced controller. Subsequently, existence conditions for the desired output-feedback controller are delineated. The required parameters for the observerbased controller are then determined by resolving some specific matrix inequalities. Finally, a simulation example is showcased to confirm method efficacy.
关 键 词:Buffer-aided strategy neural networks nonlinear control output-feedback control unreliable communication channel
分 类 号:TP13[自动化与计算机技术—控制理论与控制工程]
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