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In this paper, H∞ control via an adaptive neural network approach is proposed to realize the synchronization of two gap junction coupled chaotic FitzHugh—Nagumo (FHN) neurons under external electrical stimulation. The control scheme is robust to the uncertainties such as unmodelled dynamics, ionic channel noise and external disturbances. Asymptotic chaos synchronization is obtained by proper choice of the control parameters. The simulation results demonstrate the effectiveness of the proposed control method.

The logical relationship of manufacturing and logistics industry joint development is analyzed using system dynamics approach. Factors that affect Manufacturing Logistics Outsourcing were summarized as economic factors, technical factors, risk factors and external factors. Principal-Agent Model is established to analyze the decision-making process of logistics outsourcing in manufacturers and logistics companies.