Fault-tolerant H_∞ control for networked control systems with randomly occurring missing measurements

详细信息    查看全文

• 作者：Bin Liu^a ; ^b ; ^{liubinnepu@berkeley.edu" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Bobo Qiu^c ; ^{bastenak47@163.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Yangyang Cui^aAuthor Vitae ; Jiuqiang Sun^aAuthor Vitae
• 关键词：Fault&ndash ; tolerant control ; H&infin ; H&infin ; control ; Networked control systems ; Randomly occurring missing measurements
• 刊名：Neurocomputing
• 出版年：2016
• 出版时间：29 January 2016
• 年：2016
• 卷：175
• 期：part_PA
• 页码：459-465
• 全文大小：681 K

文摘

In this paper, the problem of fault–tolerant H_∞$H_{\infty }$ control for a class of networked control systems with randomly occurring missing measurements is investigated. More precisely, a stochastic variable satisfying the Bernoulli random distribution is introduced to describe the missing measurements. Moreover, network-induced time-varying delay is considered in the network model. By utilizing stochastic analysis, delay-dependent criteria are developed to ensure the stability of the faulty networked control system with the prescribed H_∞$H_{\infty }$ performance. Based on the derived results, the fault tolerant controller is further designed to compensate for the system failure effects. Finally, a numerical example is provided to illustrate the effectiveness of our proposed design methods.