Improved Results onH∞State Estimation of Static Neural Networks with Time Delay

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Bearing estimation with time-delay neural networks

In this paper we present a neuromimetic approach to bearing estimation issue. The proposed method is based on time-delay neural networks. This kind of network is well suited to take into account constraints encountered in signal processing: it deals with the dynamic nature of signal and discovers acoustic and temporal features. According to the propagation model of plane waves, the network has ...

متن کامل

Improved Stability Criteria of Static Recurrent Neural Networks with a Time-Varying Delay

This paper investigates the stability of static recurrent neural networks (SRNNs) with a time-varying delay. Based on the complete delay-decomposing approach and quadratic separation framework, a novel Lyapunov-Krasovskii functional is constructed. By employing a reciprocally convex technique to consider the relationship between the time-varying delay and its varying interval, some improved del...

متن کامل

Improved Stability Analysis for Neural Networks with Time-Varying Delay

This paper concerned the problem of delay-dependent asymptotic stability for neural networks with time-varying delay. A new class of Lyapunov functional dividing the interval delay is constructed to derive some new delay-dependent stability criteria. The obtained criteria are less conservative because free-weighting matrices method, a convex optimization approach, and a mixed dividing delay int...

متن کامل

Improved stability criteria for neural networks with time-varying delay

Article history: Received 9 July 2008 Received in revised form 7 November 2008 Accepted 20 November 2008 Available online 30 November 2008 Communicated by R. Wu PACS: 07.05.Mh 02.30.Ks

متن کامل

Improved Results on Stability Analysis of Neural Networks with Time-varying Delays: Novel Delay-dependent Criteria

In this paper, the problem of stability analysis of neural networks with discrete timevarying delays is considered. By constructing a new Lyapunov functional and some novel analysis techniques, new delay-dependent criteria for checking the asymptotic stability of the neural networks are established. The criteria are presented in terms of linear matrix inequalities, which can be easily solved an...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Control Science and Engineering

سال: 2016

ISSN: 1687-5249,1687-5257

DOI: 10.1155/2016/1759650