A diagonal recurrent neural network-based hybrid direct adaptiveSPSA control system

Ji X.D.; Familoni B.O.

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A diagonal recurrent neural network-based hybrid direct adaptiveSPSA control system

机译：基于对角递归神经网络的混合直接自适应SPSA控制系统

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A direct adaptive simultaneous perturbation stochastic approximation (DA SPSA) control system with a diagonal recurrent neural network (DRNN) controller is proposed. The DA SPSA control system with DRNN has simpler architecture and parameter vector size that is smaller than a feedforward neural network (FNN) controller. The simulation results show that it has a faster convergence rate than FNN controller. It results in a steady-state error and is sensitive to SPSA coefficients and termination condition. For trajectory control purpose, a hybrid control system scheme with a conventional PID controller is proposed

机译：提出了一种带有对角递归神经网络（DRNN）控制器的直接自适应同时摄动随机逼近（DA SPSA）控制系统。具有DRNN的DA SPSA控制系统具有比前馈神经网络（FNN）控制器更简单的结构和较小的参数向量。仿真结果表明，该算法具有比FNN控制器更快的收敛速度。它导致稳态误差，并且对SPSA系数和终止条件敏感。出于轨迹控制的目的，提出了一种具有常规PID控制器的混合控制系统方案。

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《IEEE Transactions on Automatic Control》 |1999年第7期|p.1469-1473|共5页
作者
Ji X.D.; Familoni B.O.;
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原文格式 PDF
正文语种 eng
中图分类自动化系统;
关键词
adaptive control; approximation theory; neurocontrollers; nonlinear systems; recurrent neural nets; three-term control; PID controller; adaptive control; convergence; diagonal recurrent neural network; nonlinear systems; simultaneous perturbation stochastic approxi;

机译：自适应控制逼近理论神经控制器非线性系统递归神经网络三相控制PID控制器自适应控制对角递归神经网络非线性系统同时摄动随机近似;

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1. A diagonal recurrent neural network-based hybrid direct adaptive SPSA control system [J] . Ji X.D., Familoni B.O. IEEE Transactions on Automatic Control . 1999,第7期

机译：基于对角递归神经网络的混合直接自适应SPSA控制系统
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A diagonal recurrent neural network-based hybrid direct adaptiveSPSA control system

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