使用坐标变换，将双线性系统中的倍增控制项和叠加控制项重新组合成与线性系统有相同形式的非线性系统。
The nonlinear system as linear system in form is composed of multiplicative control and additive control items in bilinear system using coordinate transformations.
把非线性系统的微分几何理论与混沌系统的同步控制目标相结合，设计了蔡氏电路混沌系统的标量混沌信号同步控制的非线性反馈控制器。
Combining the nonlinear control system theory and the aim of chaos synchronization, we designed a nonlinear feedback controller for synchronizing the scalar output signal of Chua's Circuits system.
针对一类参数不确定的非线性系统，提出了一种微分与积分滑模自适应控制策略。
A derivative and integral sliding mode adaptive control scheme is proposed for a class of nonlinear system with uncertain parameters.
针对一类仿射非线性系统，研究其模糊建模与控制问题。
Fuzzy modeling and control for a class of affine nonlinear systems is studied.
双线性系统容错控制的主要问题在于处理模型中的非线性项与多模型同时镇定。
The main problems for bilinear system tolerance control are dealing with nonlinear item in the model and stabilizing all models in the same time.
传统的控制与辨识理论主要是基于线性系统的，对非线性系统的辨识还有待于完善。
Traditional controlling and identifying theories are good used for linear system identifications, as for non-linear systems, they are difficult to identify or even impractical.
STF已经在非线性系统时滞估计、故障诊断与容错控制方面取得了很好的效果。
Now the STF has achieved satisfactory results in the joint estimation of time-delay and parameter, fault diagnosis, fault -tolerant control in nonlinear systems.
本文采用与线性系统理论比较的方法来阐述非线性控制系统理论。
In this paper, the authors introduced nonlinear control systems theory by comparing it with linear control systems theory.
本文采用与线性系统理论比较的方法来阐述非线性控制系统理论。
In this paper, the authors introduce nonlinear control systems theory by comparing it with linear control systems theory.
研究一类含有系统扰动，并且状态项与控制项中同时含有未知参数的非线性系统的反馈稳定问题。
The problem of adaptive stabilization for a class of nonlinear systems with unknown parameters both in state vector and control vector is studied.
针对一类由非线性增益函数与典型PID控制器级联组成的非线性系统，采用波波夫判据对此类闭环控制系统进行稳定性分析。
The stability of a nonlinear control system which consists of a sector bounded nonlinear gain in cascade with a fixed linear PID controller is analyzed using Popov stability criterion.
对一类非线性系统进行简化处理，将系统在平衡点处进行线性处理，在此基础上提出了一种基于模糊控制与改进型PID控制的混合控制算法。
This paper is devoted to discussion of a new control method based on the combination of fuzzy control and improved PID control, after simplifying the non-linear systems at its equilibrium point.
基于人工神经网络与模糊控制理论，对非线性系统提出了一种自组织模糊神经网络模型，并推导出一类新型学习算法。
Based on a neural network and the fuzzy control theory, this paper presents a self-organizing fuzzy-neural network for nonlinear systems, and develops a new learning algorithm.
针对一类具有输入与状态时滞的参数不确定非线性系统，基于T - S模糊模型，讨论该系统的保性能控制问题。
Based on T-S fuzzy model, the guaranteed cost control problem of a class of uncertain nonlinear systems with input and state time delay is discussed.
针对一类具有输入与状态时滞的参数不确定非线性系统，基于T - S模糊模型，讨论该系统的保性能控制问题。
Based on T-S fuzzy model, the guaranteed cost control problem on uncertain nonlinear systems with input and state time delay was discussed.
本论文以混沌优化、支持向量机二种计算智能方法为主，以此研究非线性系统的建模与控制。
This paper focuses on two kinds of computational intelligence, that is, COA and SVM, for modelling and controller design of nonlinear systems.
并应用状态反馈精确线性化方法与线性系统的变结构控制理论相结合的方法，设计了新型非线性变结构控制器的控制规律。
Based on feedback linearization in the nonlinear systems and variable - structure control theory in the linear system, a new nonlinear basic controller is designed.
针对单输入单输出非线性系统的自适应控制问题，提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
结论通过力矩受限时倒立摆摆起控制量分析与实物摆起控制实现，表明所提出方法有效性和可行性，为复杂强非线性系统的过程控制提出依据。
The article then draws the conclusion that validity and feasibility are shown and the foundation will be used for the control of non-linear system.
提出利用CMAC神经网络与PID的复合控制，实现非线性系统控制。
This paper designed a control model, which is constructed based on CMAC neural network and combined with a PID controller.
本文以传统PID控制器为基础，结合神经网络与预测控制，针对非线性系统提出了在PI D型预测性能指标函数下的控制方法。
In this paper, by utilizing the conventional PID controller and predictive control theory, the method is proposed under the PID-type predictive cost function.
本文以传统PID控制器为基础，结合神经网络与预测控制，针对非线性系统提出了在PI D型预测性能指标函数下的控制方法。
In this paper, by utilizing the conventional PID controller and predictive control theory, the method is proposed under the PID-type predictive cost function.
应用推荐