پروژه 24

عنوان مقاله فارسی: برآورد حالت اتلاف همزمان برای شبکه های پیچیده تصادفی با کوپلینگ پرش اندازه ای و اندازه گیری های نامشخص

عنوان مقاله لاتین: Asynchronous Dissipative State Estimation for Stochastic Complex Networks With Quantized Jumping Coupling and Uncertain Measurements

نویسندگان: Yong Xu; Renquan Lu; Hui Peng; Kan Xie; Anke Xue

تعداد صفحات: 9

سال انتشار: 2017

زبان: لاتین

Abstract:

This paper addresses the problem of state estimation for a class of discrete-time stochastic complex networks with a constrained and randomly varying coupling and uncertain measurements. The randomly varying coupling is governed by a Markov chain, and the capacity constraint is handled by introducing a logarithmic quantizer. The uncertainty of measurements is modeled by a multiplicative noise. An asynchronous estimator is designed to overcome the difficulty that each node cannot access to the coupling information, and an augmented estimation error system is obtained using the Kronecker product. Sufficient conditions are established, which guarantee that the estimation error system is stochastically stable and achieves the strict (Q, S, R)-γ-dissipativity. Then, the estimator gains are derived using the linear matrix inequality method. Finally, a numerical example is provided to illustrate the effectiveness of the proposed new design techniques.