This paper presents a kind of adaptive neural network nonlinear systems control method based on genetic algorithms.

提出一种基于遗传算法的神经网络非线性自适应控制方案。

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And it proposes an indirect adaptive neural network law. This law optimizes the control structure and improves the quality of control.

针对悬架系统的辨识和控制过程，本文提出一种神经网络间接自适应控制方法，优化了控制结构，提高了控制精度。

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The problem of direct adaptive neural network control for a class of interconnected systems with unknown constant control gains is studied in this paper.

研究了一类具有未知常数控制增益的耦合大系统的直接自适应神经网络控制问题。

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