该MNN网络能用于在线学习对象的动态特性，从而提供一种能提高整个控制系统性能的自适应控制实现策略。
The MNN can be used for on -line learning of the plant's dynamic characteristics and provide a kind of adaptive control strategy which can improve the whole control system's performance.
自适应动态滑动模控制的作用有两个：其一是在神经网络控制失灵的情形下提供控制系统的全局稳定性；其二是改善系统的跟随性能。
The dynamic sliding mode control serves two purposes, one is to provide the global stability of the closed loop system, and the other is to improve the tracking performance.
本文提供一种综合设计方法，使这一类应用广泛的工程控制系统同时具备良好的稳定特性和动态性能。
A synthetical designing method is proposed which makes this kind of engineering control system applied generally achieve good dynamic and steady characteristics.
并对超高压压力控制系统的动态响应性能进行了分析，为压力控制系统方案的确定提供了一定的理论依据，并根据实际情况选择了合适的超高压压力控制系统形式。
The dynamic response property of pressure controlling system is analyzed, based on which the suitable controlling pattern can be chosen. The proper controlling form is provided in the design.
基于动态估算的电机永磁体磁链，可为永磁同步电机控制系统实时提供准确的转子磁链信息，提高系统控制性能和效率。
Permanent flux based on dynamic estimation can offer real-time accurate rotor flux information, which can obviously improve the control performance and efficiency of PMSM.
基于动态估算的电机永磁体磁链，可为永磁同步电机控制系统实时提供准确的转子磁链信息，提高系统控制性能和效率。
Permanent flux based on dynamic estimation can offer real-time accurate rotor flux information, which can obviously improve the control performance and efficiency of PMSM.
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