Exponential Stabilization for Sampled-Data Neural-Network-Based Control Systems

Abstract

This paper investigates the problem of sampled-data stabilization for neural-network-based control systems with an optimal guaranteed cost. Using time-dependent Lyapunov functional approach, some novel conditions are proposed to guarantee the closed-loop systems exponentially stable, which fully use the available information about the actual sampling… (More)
DOI: 10.1109/TNNLS.2014.2306202

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Cite this paper

@article{Wu2014ExponentialSF, title={Exponential Stabilization for Sampled-Data Neural-Network-Based Control Systems}, author={Zhengguang Wu and Peng Shi and Hongye Su and Jian Chu}, journal={IEEE Transactions on Neural Networks and Learning Systems}, year={2014}, volume={25}, pages={2180-2190} }