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In this paper, a particle swarm optimization algorithm with Gaussian mutations, denoted by GPSO, is proposed to solve constrained optimization problems. Two Gaussian mutation operators are employed to search the promising regions for better solutions. One operator is for the region between the personal best position and the global best one. The other operator is for the region around the global best...
Model predictive control (MPC), also known as receding horizon control (RHC), is an advanced control strategy for optimizing the performance of control systems. For nonlinear systems, standard MPC schemes based on linearization would result in poor performance. In this paper, we propose an MPC scheme for nonlinear affine systems based on a recurrent neural network (RNN) called the simplified dual...
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