Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6864618 | Neurocomputing | 2018 | 7 Pages |
Abstract
This paper addresses the set-membership filtering problem for a class of discrete time-varying nonlinear systems with censored measurements and time-delay under the Round-Robin protocol. The censored measurements resulting from occlusion region, limit-of-detection or sensor faults are modeled by the Tobit Type I model, in which the given threshold governs whether or not the measurement information is directly utilized. A periodic protocol named Round-Robin protocol is employed to reduce the communication burden. Subsequently, a novel periodical model is given to describe censored measurement and the Round-Robin protocol in a uniform framework. In the light of such a model, the existence condition of the set-membership filter is described by a series of periodic threshold-dependent recursive linear matrix inequalities (RLMIs). As a consequence, the desired filter parameters can be obtained by the existence conditions and optimizing the corresponding ellipsoid parameters with the help of the convex optimization approach. Finally, a simulation is provided to illustrate the effectiveness of the proposed estimation approach.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Jiajia Li, Guoliang Wei, Derui Ding, Yurong Li,