پروژه 24

عنوان مقاله فارسی: برآورد حالت محدود برای شبکه های عصبی مارکوویان همراه با غیرخطی بودن حسگر

عنوان مقاله لاتین: Finite-Time State Estimation for Coupled Markovian Neural Networks With Sensor Nonlinearities

نویسندگان: Zhuo Wang; Yong Xu; Renquan Lu; Hui Peng

تعداد صفحات: 8

سال انتشار: 2017

زبان: لاتین

Abstract:

This paper investigates the issue of finite-time state estimation for coupled Markovian neural networks subject to sensor nonlinearities, where the Markov chain with partially unknown transition probabilities is considered. A Luenberger-type state estimator is proposed based on incomplete measurements, and the estimation error system is derived by using the Kronecker product. By using the Lyapunov method, sufficient conditions are established, which guarantee that the estimation error system is stochastically finite-time bounded and stochastically finite-time stable, respectively. Then, the estimator gains are obtained via solving a set of coupled linear matrix inequalities. Finally, a numerical example is given to illustrate the effectiveness of the proposed new design method.