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Abstract: This paper investigates the use of relaxed recentered logarithmic barrier functions in the context of nonlinear model predictive control. These functions are a variation of the regular ...

Abstract: Two finite-time recurrent neural network models (abbreviated as FTRNN-1 model and FTRNN-2 model) are proposed and investigated for solving quadratic minimization problem that is widely used ...