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The chaotification of discrete Hopfield neural networks via impulsive control |
| LIU Na, GUAN Zhi-Hong |
| Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074 |
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LIU Na, GUAN Zhi-Hong 2009 Chin. Phys. Lett. 26 070503 |
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Abstract The chaotification of discrete Hopfield neural networks is studied with impulsive control techniques. No matter whether the original systems are stable or not, chaotification theorems for discrete Hopfield neural networks are derived, respectively. Finally, the effectiveness of the theoretical results is illustrated by some numerical examples.
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| Keywords:
05.45.Gg
05.45.Pq
07.05.Mh
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Received: 03 December 2008
Published: 02 July 2009
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| PACS: |
05.45.Gg
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(Control of chaos, applications of chaos)
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05.45.Pq
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(Numerical simulations of chaotic systems)
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07.05.Mh
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(Neural networks, fuzzy logic, artificial intelligence)
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