Fuzzy Sliding Mode Control And Application Of Hysteretic Chaotic Neuron / Network

Considering complex chaotic neural network is the most hot topics of artificial neural network research, taking hysteretic and chaotic neural network as research object, and its chaos control and application were studied. At present, the associative memory of traditional feedback type neural network was used for binary model, its storage capacity is not high, and it is difficult to store the strong correlation sample mode. Thus, a multi-valued associative memory network based on improved Hebb rules is proposed and the simple electronic device was used to realize the hardware circuit of the network. Annealing strategy is often used to control hysteretic and chaotic neural networks, namely by decaying self feedback coefficient continuously, the chaos characteristics will reduce, and eventually the chaotic neural network degenerated into traditional neural network. The chaotic characteristic is the basis of the neural network information processing ability. The chaos control is not realized if the mechanism of chaos is destructed. Considering the uncertainty of parameter and external disturbance, a fuzzy sliding mode control strategy is proposed to realize chaos control and synchronization control. Fuzzy control is used to reduce or even eliminate the chattering. Lyapunov stability theory is used to prove the stability of the control law. Experimental results validate the feasibility and effectiveness of the control strategy. On the basis of the realization of hysteretic and chaotic neuron/network chaos control, its application was researched. To solve optimization calculation problem, the energy function of the optimization function is designed to find the optimal control law, under the effect of the control law of neural network can quickly converge to the optimal solution. The chaotic synchronization control of traditional chaotic neural network and hysteretic and chaotic neural network is used to secure communications, a kind of chaotic encryption scheme covering way is proposed. The proposed method is validated through simulation results in the function optimization problem solving and the feasibility of secure communications applications.