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In this paper, a finite time recurrent neural network with a tunable activation function is presented to solve the k-winners-take-all problem. The activation function has two tunable parameters which give more flexibility to design neural network. By Lyapunov theorem, the proposed neural network model can converge to the equilibrium point in finite time. Comparing with the existing neural networks,...
The globally exponentially attractive set and synchronization problem of the Qi chaotic system was researched. Firstly, based on the definition of globally exponentially attractive set and constructing a generalized positive definite Lyapunov functions with radially unbound respect with to the parameters of the system, and employing the continuous extension principle, a new cylinder estimation of...
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