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A new approach for instantaneous pole placement and its application in control of nonlinear time-varying systems

In this paper, we first show that dynamical recurrent neural networks for online computation of feedback gain that in recent years have been used for pole placement of nonlinear systems is not reliable, and then suggest a new strategy for overcoming its drawback. The result of this strategy is global exponential stability of nonlinear system.