Event-triggered filtering and fault estimation for nonlinear systems with stochastic sensor saturations

Yang Liu, Zidong Wang, Xiao He, D. H. Zhou
2016 International Journal of Control  
This paper is concerned with the filtering problem for a class of nonlinear systems with stochastic sensor saturations and event-triggered measurement transmissions. An event-triggered transmission scheme is proposed with hope to ease the traffic burden and improve the energy efficiency. The measurements are subject to randomly occurring sensor saturations governed by Bernoulli distributed sequences. Special effort is made to obtain an upper bound of the filtering error covariance in the
more » ... e of linearization errors, stochastic sensor saturations as well as event-triggered transmissions. A filter is designed to minimize the obtained upper bound at each time step by solving two sets of Riccati-like matrix equations, and thus the recursive algorithm is suitable for online computation. Sufficient conditions are established under which the filtering error is exponentially bounded in mean square. The applicability of the presented method is demonstrated by dealing with the fault estimation problem. An illustrative example is exploited to show the effectiveness of the proposed algorithm.
doi:10.1080/00207179.2016.1199916 fatcat:cdat3rejfjbojpl4o37h4pm2ka