Journal
NEUROCOMPUTING
Volume 260, Issue -, Pages 25-31Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.neucom.2017.02.063
Keywords
Sampled-data control; Neural networks; Regional synchronization; Actuator saturation
Categories
Funding
- National Natural Science Foundation of China [61304064, 61273157, 61672225]
- National Science Fund of Hunan Province [2015E5021, 2015E3064]
- Scientific Research Fund of Hunan Provincial Education Department [1513067, 1600475]
- Aid Program for Science and Technology Innovative Research Team in Higher Educational Institutions of Hunan Province
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In this paper, the sampled-data control is applied to synchronize chaotic neural networks subject to actuator saturation. By employing a time-dependent Lyapunov functional that captures the characteristic information of actual sampling pattern, we derive a local stability condition for the synchronization error systems. By this condition, we design a sampled-data controller to regionally synchronize the drive neural networks and response neural networks subject to actuator saturation. Moreover, an optimization method is given to design the desired sampled-data controller such that the set of admissible initial conditions is maximized. A numerical example is given to demonstrate the effectiveness and merits of the proposed design technique. (C) 2017 Elsevier B.V. All rights reserved.
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