Finite-time H? Consensus Filtering of 2D Distributed Parameter Systems with Randomly Occurred Nonlinearities
Abstract
In this paper, the distributed H? filtering issue is investigated for an array of 2D distributed parameter systems with randomly occurred nonlinearities. The measurement output is obtained through mobile sensor networks which under consideration comprised of multiple missing measurements and signal quantization. A novel distributed consensus filter is constructed for the addressed 2D distributed parameter systems. By employing operator-dependent Lyapunov functional, the velocity law of mobile sensors is obtained. The sufficient conditions which are the velocity form such that the filtering error system is finite time bounded. Then, the H? performance of the systems is analyzed in a given finite time interval. Finally, a numerical simulation is given to illustrate the validity of the presented theoretical results.