caa a22 4500 606205233 CHVBK 20210128101006.0 cr unu---uuuuu 210128e20150901xx s 000 0 eng 10.1007/s00034-015-9976-9 doi (NATIONALLICENCE)springer-10.1007/s00034-015-9976-9 Adaptive Consensus Filters for Second-Order Distributed Parameter Systems Using Sensor Networks [Elektronische Daten] [Xuyang Lou, Baotong Cui] Control and estimation of second-order distributed parameter systems are of importance in mechanical systems. In particular, flexible structures can be modeled as second-order distributed parameter systems. This paper investigates adaptive consensus filtering for a class of second-order distributed parameter systems under an abstract framework. We propose an adaptive consensus mechanism to minimize the disagreement among all local filters consisting of different sensor nodes and written in the natural setting of a second-order formulation with an additional coupling. A parameter-dependent Lyapunov function is presented to analyze the stability of the collective dynamics, that is, all filters agree with each other and converge to the true state of the second-order system. The performance is demonstrated on a numerical example of a second-order partial differential equation with point measurements. Springer Science+Business Media New York, 2015 Distributed parameter systems nationallicence Adaptive consensus filters nationallicence Sensor networks nationallicence Lyapunov function nationallicence Lou Xuyang Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, 214122, Wuxi, China aut Cui Baotong Institute of System Engineering, Jiangnan University, 214122, Wuxi, China aut Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/9(2015-09-01), 2801-2818 0278-081X 34:9<2801 2015 34 34 https://doi.org/10.1007/s00034-015-9976-9 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00034-015-9976-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lou Xuyang Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, 214122, Wuxi, China aut NATIONALLICENCE 700 1- Cui Baotong Institute of System Engineering, Jiangnan University, 214122, Wuxi, China aut NATIONALLICENCE 773 0- Circuits, Systems, and Signal Processing Springer US; http://www.springer-ny.com 34/9(2015-09-01), 2801-2818 0278-081X 34:9<2801 2015 34 34