由于混沌系统具有对小信号的敏感性及对噪声的免疫性等特点，使得混沌在信息检测技术中具有很好的发展前景。
Chaos system is sensitive to weak signals and immune to noise, which make chaos have good prospects in information detection technique.
本文应用人工免疫算法的参数和结构双重可塑性来产生多模型控制策略控制律，由此提出了一种新的混沌控制方法。
A new control method was presented that the control laws of multi-model solution were generated by artificial immune algorithm to obtain double plasticity of parameter and structure.
基于混沌理论构建的信号检测系统具有敏感微弱周期信号和对噪声有强免疫力的特点，用于微弱信号检测领域优势明显。
Signal detection system based on chaos theory has the critical sensitivity to periodic signal and the immunity to the strong noise, which can be used in weak signal detection area.
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