In this paper, we establish a new data-based iterative optimal learning control scheme for discrete-time nonlinear systems using iterative adaptive dynamic programming (ADP) approach and apply the developed control scheme to solve a coal gasification optimal tracking control problem. According to the system data, neural networks (NNs) are used to construct the dynamics of coal gasification pro…
This paper is concerned with a new iterative -adaptive dynamic programming (ADP) technique to solve optimal control problems of infinite horizon discrete-time nonlinear systems. The idea is to use an iterative ADP algorithm to obtain the iterative control law which optimizes the iterative performance index function. In the present iterative -ADP algorithm, the condition of initial admissible co…
Abstract The selective hydrogenation of trans-4-phenyl-3-butene-2-one over Ru/g-Al2O3 stabilized with triphenylphosphine was investigated in the presence of diamine and base. It was found that 1,2-diphenylethylene-1,2-diamine (DPEN) was the best modifier among the investigated diamines. Both DPEN and KOH not only promoted the selectivity of the C O bond hydrogenation, but also accelerated the …