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.
动力堆控制系统是一带不确定参数及干扰的复杂非线性系统，采用常规的古典控制很难保证其热功率精确跟踪负荷的变化。
The classical control method is usually hard to ensure the thermal power tracking accuracy, because the nuclear reactor system is a complex nonlinear system with uncertain parameters and disturbances.
前馈神经网络由于具有理论上逼近任意非线性连续映射的能力，因而非常适合于非线性系统建模及构成自适应控制。
Because the feedforward neural network has an ability of approach to arbitrary nonlinear mapping, it can be used effectively in the modeling and controlling of nonlinear system.
研究有界不确定性非线性系统的鲁棒跟踪问题，考虑了在同时存在参数、结构及干扰的不确定性条件下，控制系统的鲁棒性。
In this paper, the robust output tracking control problem for nonlinear systems is discussed. The robustness against structure and parameter uncertainties and unknown disturbances is considered.
研究了存在扰动的一般双线性系统的非线性状态反馈控制方案及双线性系统进行状态反馈精确线性化的特点。
This paper presents schemes of controlling bilinear systems with disturbances by nonlinear state feedback and characteristics which possess accurate linearizing bilinear systems by state feedback.
研究多输入非线性系统基于分步变换及设计思想的非线性控制器设计问题。
The paper addresses a nonlinear controller design approach for multi-input nonlinear systems based on step-by-step transformation.
介绍非线性系统控制的逆系统方法及相应的单变量非线性系统的控制理论。
An Inverse system Method is introduced for nonlinear systems control, and the design theory for single variable nonlinear control systems is described.
该方法先考虑输入具有饱和非线性的线性系统一般形式，再通过构造低增益部分、高增益非线性部分及复合非线性控制律三步完成设计。
The normal form of the linear systems with input saturation was considered; and then the control law was designed by constructing low-gain, high-gain and CNF gradually.
利用模糊控制器具有的输入输出比例特性及非线性系统的波波夫稳定判据，提出了在保证被控系统稳定的前提下模糊控制器的系统化设计方法。
A systematical method of fuzzy controller design is introduced based on the Popov stability criterion and proportion property of input to output of the fuzzy controller.
利用模糊控制器具有的输入输出比例特性及非线性系统的波波夫稳定判据，提出了在保证被控系统稳定的前提下模糊控制器的系统化设计方法。
A systematical method of fuzzy controller design is introduced based on the Popov stability criterion and proportion property of input to output of the fuzzy controller.
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