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Simple Self-Adaptive Control System Analysis Based On Multi-Layer Feed-Forward Neural Network

机译:基于多层前馈神经网络的简单自适应控制系统分析

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Simple self-adaptive control based on multi-layer feed-forward neural network (NNSAC) is a kind of intelligent model reference adaptive control. Due to its strong learning ability and adaptability, it has good control effects in multi-variables decoupling control system. In the paper, the author presents structure form and calculating method of NNSAC. The stabilization and convergence of NNSAC are theoretically proved, thus perfect simple adaptive control theory.
机译:基于多层前馈神经网络(NNSAC)的简单自适应控制是一种智能模型参考自适应控制。由于其强大的学习能力和适应性,它在多变量去耦控制系统中具有良好的控制效应。本文介绍了NNSAC的结构形式和计算方法。理论上证明了NNSAC的稳定和收敛,因此完善了简单的自适应控制理论。

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