研究了基于不确定信息理论的非线性系统综合故障诊断方法。
A comprehensive fault diagnosis approach on nonlinear systems is studied by using uncertain information theory.
研究了一类时变滞后的不确定线性系统的控制综合问题。
This paper deals with the synthetic control problem for a class of uncertain linear systems with a time-varying delay.
对非线性系统的分析综合是理论研究的热点，同时也是工业生产，航空航天和海洋工程中的要求。
The analysis and synthesis for nonlinear systems is not only hot in the academic field, but also necessary in the industry, aerospace and ocean engineering.
提出基于逼近逆模型及趋近律的综合控制方法来综合一类非线性系统的控制律。
An integrated control method based on approximate inverse model and tendency rate for a class of nonlinear system is presented.
本文把子结构法、振型迭加法、模态综合法等推广应用于非线性系统，提出分析非线性系统动力响应的离散分量法。
A method for dynamic response analysis of the nonlinear systems is presented. It is the development of the mode-superposition procedure and the modal synthesis method.
在线性系统的设计与综合中，往往需要了解被测系统的传递函数。
It is necessary that a transfer function of a measured system is understood in design and synthesis for linear system.
应用线性系统理论对这些线性子系统进行综合。
Furthermore, linear control system techniques are applied to these linearized subsystems to synthesize desired response.
对一般非线性系统，推导了一种综合运用非线性动态逆、自适应模糊逻辑系统和滑动模态控制进行控制律设计的方法。
For general nonlinear system, a control law design method which integrated the nonlinear dynamic inverse theory, adaptive fuzzy system and slide model control is developed.
它综合了自适应预估控制在控制线性系统中的良好特性和神经网络在辨识、控制非线性系统中的高精确性。
The advantage of NN modeling accuracy and the good control performance of the optimal predictive control are combined.
它综合了自适应预估控制在控制线性系统中的良好特性和神经网络在辨识、控制非线性系统中的高精确性。
The advantage of NN modeling accuracy and the good control performance of the optimal predictive control are combined.
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