title: Improving control and estimation for distributed parameter systems utilizing mobile actuator-sensor network.
abstract: This paper proposes a scheme for non-collocated moving actuating and sensing devices which is unitized for improving performance in distributed parameter systems. By Lyapunov stability theorem, each moving actuator/sensor agent velocity is obtained. To enhance state estimation of a spatially distributes process, two kinds of filters with consensus terms which penalize the disagreement of the estimates are considered. Both filters can result in the well-posedness of the collective dynamics of state errors and can converge to the plant state. Numerical simulations demonstrate that the effectiveness of such a moving actuator-sensor network in enhancing system performance and the consensus filters converge faster to the plant state when consensus terms are included.
authors.affiliation: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China. Electronic address: weny815@126.com.
authors.forename: Wenying
authors.initials: W
authors.lastname: Mu
authors.affiliation: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China. Electronic address: btcui@vip.sohu.com.
authors.forename: Baotong
authors.initials: B
authors.lastname: Cui
authors.affiliation: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China. Electronic address: nmliwen@yahoo.com.cn.
authors.forename: Wen
authors.initials: W
authors.lastname: Li
authors.affiliation: Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi 214122, PR China. Electronic address: zhengxian@jiangnan.edu.cn.
authors.forename: Zhengxian
authors.initials: Z
authors.lastname: Jiang
keywords: Consensus filter; Disagreement penalty term; Distributed parameter systems; Moving actuator–sensor network; Spatial distribution