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	1. Simultaneous generation of multiple time-delay-signature eliminated chaos in ring network of coupled semiconductor lasers with heterogeneous delays
	XIANG Shuiying,WEN Aijun,LIN Lin,ZHANG Huixing,ZHANG Hao,GUO Xingxing,LI Jiafu
	Information Science and System Science 17 March 2016
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	Abstract:The time delay signature (TDS) properties in ring network of three mutually coupled semiconductor lasers (MCSLs) are investigated quantitatively. The evolution pattern of TDS, which is quantified via the auto-correlation function, for ring network with identical coupling delays as well as with heterogeneous coupling delays are discussed and compared. The effects of coupling strength, frequency detuning and injection current are mainly examined. The parameter regions contributing to successful TDS concealment are identified. It is found that, three sets of chaotic signals with TDS concealment can be simultaneously generated in ring network of three MCSLs under certain condition, and the TDS is mainly affected by injection current and coupling strength, but is not so sensitive to the frequency detuning. To obtain low TDS, larger injection current and smaller coupling strength are desired. Besides, by intentionally introducing heterogeneous coupling delays in the ring network, the TDS can be better concealed in much wider parameter regions compared to the network with identical coupling delays, which is highly desirable for the chaos-based random bit generators.
	TO cite this article:XIANG Shuiying,WEN Aijun,LIN Lin, et al. Simultaneous generation of multiple time-delay-signature eliminated chaos in ring network of coupled semiconductor lasers with heterogeneous delays[OL].[17 March 2016] http://en.paper.edu.cn/en_releasepaper/content/4681167


	2. Associative Memory via Memristive Neural Networks
	ZENG Zhigang,WEN Shiping
	Information Science and System Science 22 January 2014
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	Abstract:This paper investigates associative memory based on memristive neural networks. Based on the reproducible gradual resistance tuning in bipolar mode, a first-order voltage-controlled memristive model is employed with asymmetric voltage thresholds. Since memrisive devices are especially tiny to be densely packed in crossbar-like structures and possess long time memory needed by neuromorphic synapses, this paper shows how to approximate the behavior of synapses in neural networks using this memristive device. Certain neural networks are established and applied in associative memory.
	TO cite this article:ZENG Zhigang,WEN Shiping. Associative Memory via Memristive Neural Networks[OL].[22 January 2014] http://en.paper.edu.cn/en_releasepaper/content/4582391


	3. Impulsive stabilization of a class of nonlinear system with bounded gain error
	MA Tiedong,ZHAO Feiya
	Information Science and System Science 24 December 2013
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	Abstract:This paper introduces impulsive gain error result from mechanical limitation or device restriction in practical application. Our new impulsive control method includes control gain error with an acceptable boundary is more practically applicable than previous existing impulsive analytical approaches. A sufficient criterion for global exponential stability of impulsive control system is derived without the need for precise impulsive gain by estimating impulsive differential inequality. The effectiveness of the proposed method is confirmed by theoretical analysis and numerical simulation.
	TO cite this article:MA Tiedong,ZHAO Feiya. Impulsive stabilization of a class of nonlinear system with bounded gain error[OL].[24 December 2013] http://en.paper.edu.cn/en_releasepaper/content/4576685


	4. Robust Hybrid Projective Synchronization of Fractional-Order Chaotic Systems with Time-Delay
	MA Tiedong,XI Quan
	Information Science and System Science 16 December 2013
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	Abstract:The hybrid projective synchronization for fractional-order chaotic systems with time-delay and uncertain perturbation is investigated in this paper. Adaptive sliding mode control method is proposed to synchronize the fractional-order chaotic and hyperchaotic systems under time-delay and uncertain perturbation. Stability is analyzed by using stability theorem of fractional calculus. The simulation results show the feasibility and effectiveness of the proposed scheme.
	TO cite this article:MA Tiedong,XI Quan. Robust Hybrid Projective Synchronization of Fractional-Order Chaotic Systems with Time-Delay[OL].[16 December 2013] http://en.paper.edu.cn/en_releasepaper/content/4575776


	5. Circuit simulation and implementation for synchronization between fractional-order modified Liu chaotic systems
	MA Tiedong,GUO Dong
	Information Science and System Science 28 October 2013
	Show/Hide Abstract \| Cite this paper︱Full-text: PDF (4K B)

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