基于滑模控制原理，针对一类具有未知增益和强关联项的非线性相似组合大系统的控制进行了研究，提出了一种分散自适应控制策略。
Based on the principle of sliding mode control, a new scheme of decentralized adaptive sliding mode controller is proposed for a class of nonlinear composite systems with similarity.
基于微分方程不变性原理，我们提出了一个简单、系统、严格的自适应反馈控制器来非线性地稳定任何混沌系统。
Based on the invariance principle of differential equations a simple, systematic and rigorous adaptive-feedback controller is proposed to stabilize nonlinearly any chaotic systems.
把非线性逆系统原理和单神经元自适应PID控制相结合，设计出一种新的非线性输出跟踪控制器。
A new nonlinear output tacking controller has been designed in this paper, which combined the nonlinear stability inversion system theory with the single-neuron adaptation PID controller.
然后详细地介绍了自适应线性神经网络理论和核心算法——LMS算法，自适应噪声抵消技术的原理并提出了检测方法。
Secondly, the paper introduced adaptive linear neural networktheory , the nuclear algorithm-LMS algorithm, the theory of adaptive noisecounteracting and proposed detecting methods.
然后详细地介绍了自适应线性神经网络理论和核心算法——LMS算法，自适应噪声抵消技术的原理并提出了检测方法。
Secondly, the paper introduced adaptive linear neural networktheory , the nuclear algorithm-LMS algorithm, the theory of adaptive noisecounteracting and proposed detecting methods.
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