研究不确定非线性系统的输出跟踪问题。
In this paper, the robust output tracking control problem for nonlinear systems with unmatched uncertainties is discussed.
讨论了一类不确定非线性系统的间接自适应模糊控制问题。
The problem of indirect adaptive fuzzy control for a class of uncertain nonlinear systems is discussed in this paper.
不确定非线性系统控制是目前控制理论研究的一个重要课题。
Uncertain nonlinear systems control is an important topic in control theory.
针对一类不确定非线性系统提出了一种自适应模糊控制方法。
An adaptive fuzzy slide tracing control method is presented for a class of unknown nonlinear systems.
针对一类不确定非线性系统提出一种新的模糊自适应控制方法。
A new adaptive fuzzy control method for a class of uncertain nonlinear systems is presented.
针对一类非最小相不确定非线性系统，提出了一种自适应鲁棒控制器。
An adaptive robust controller is presented for a non-minimum phase uncertain nonlinear system.
针对含输入饱和特性的一类不确定非线性系统，设计了一种自适应控制器。
An adaptive controller is designed for a class of uncertain nonlinear systems with input saturation.
通过本文的研究，较好地解决了一些不确定非线性系统的模糊自适应控制问题。
Simulation results show the effectiveness of the control scheme. Through the research in this paper, some fuzzy adaptive control problems for uncertain nonlinear systems have been properly solved.
对一类不确定非线性系统，提出了一种基于模糊逻辑的连续滑模变结构设计方法。
A scheme of fuzzy logic based the continuous sliding mode control for a class of nonlinear systems in the presence of uncertainties was developed.
针对一类不确定非线性系统，基于李亚普诺夫稳定性理论提出了滑模自适应算法。
Taking aim at a class of uncertain nonlinear systems, a sliding mode adaptive control algorithm based on Lyapunov's stability theory was proposed.
基于无源系统理论，该文讨论了一类不确定非线性系统的鲁棒输出反馈控制问题。
Based on the passivity system theory, the robust output-feedback control for a class of uncertain nonlinear systems is discussed.
对一类不确定非线性系统，包括不确定性机器人，提出一种自适应鲁棒迭代学习控制方案。
An adaptive robust iterative learning control scheme is developed for a class of uncertain nonlinear systems, including robotics as a subset.
一类多时滞不确定非线性系统，基于模型的模糊控制和神经网络控制相结合的混合控制方法。
A mixed control method combining fuzzy model-based control and neural network control is presented for a class of uncertain nonlinear system with multiple time delays.
针对一类多输入多输出不确定非线性系统，提出一种基于模糊辨识的混合鲁棒自适应控制方法。
A hybrid robust adaptive control based on fuzzy identification for a class of multiple-input -multiple-output nonlinear systems was proposed with plant unknown and external disturbances.
针对一类不确定非线性系统，本文提出了一种具有连续监督控制功能的组合型自适应模糊控制方法。
For a class of uncertain nonlinear systems, a combined adaptive fuzzy control method with the function of continuous supervisory control is proposed in this paper.
本文对基于动态面控制方法的不确定非线性系统的控制理论及其在船舶航向控制中的应用进行了研究。
The control problem of uncertain nonlinear system based on the dynamic surface control method is proposed, and its application to ship course controller is studied in this paper.
针对一类高阶不确定非线性系统，基于指数型快速终端滑模的良好特性，提出了一种新的滑模变结构控制。
Based on the good properties of exponential fast terminal sliding mode, a novel sliding mode variable structure control for high-order uncertain nonlinear systems is proposed.
仿真结果表明，该方案可以实现模糊控制和神经网络的优势互补，对不确定非线性系统具有很好的控制效果。
Simulation results show that the fuzzy control and neural network can take advantage of each other to possess a good performance in the uncertain nonlinear system.
在此基础上，进一步探讨了同时含有状态摄动和状态导数摄动的不确定非线性系统的鲁棒性能准则设计问题。
Then the performance criteria design is discussed for a class of nonlinear uncertain systems with state perturbations and state's derivative perturbations as well.
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.
通过利用“加幂积分器”的方法构造出了一个部分状态反馈控制律，解决了这类不确定非线性系统的有限时间镇定问题。
Through adding a power integrator, a partial-state feedback law is constructed to solve the finite-time stabilization problem of the nonlinear systems.
本文主要内容包括对CMAC神经网络泛化性能的研究及其在对不确定非线性系统进行积分变结构控制（IVSC）中的应用。
The main content in this paper include generalization performance research of CMAC NN and the application in Integral Variable Structure Control (IVSC) for uncertain nonlinear systems.
对于基于神经网络的不确定非线性系统的高精度控制场合，神经网络泛化性能的好坏显得尤为重要，它直接影响到系统的控制精度。
As for high precision control of uncertain nonlinear systems based on NN, the generalization capability of NN is so important that the control precision is affected directly by it.
提出了不确定非线性系统多模型预测控制的新方法，它结合了针对非线性的基于系统输出的切换方法和针对不确定性的模型切换方法。
For the uncertain nonlinear system, the multiple-model predictive control is studied which combines the switching method for the nonlinearity and the one for the model uncertainty.
提出了不确定非线性系统多模型预测控制的新方法，它结合了针对非线性的基于系统输出的切换方法和针对不确定性的模型切换方法。
For the uncertain nonlinear system, the multiple-model predictive control is studied which combines the switching method for the nonlinearity and the one for the model uncertainty.
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