Adaptive Consensus Filters for Second-Order Distributed Parameter Systems Using Sensor Networks

作者：Lou, Xuyang^*; Cui, Baotong

来源：Circuits, Systems, and Signal Processing, 2015, 34(9): 2801-2818.

DOI：10.1007/s00034-015-9976-9

• Distributed parameter systems
• Adaptive consensus filters
• Sensor networks
• Lyapunov function

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.

• 出版日期2015-9
• 单位江南大学