A class of typical nonlinear adaptive control system has been studied.
研究了一类典型非线性系统的自适应控制问题。
A nonlinear adaptive control scheme for stepping motors is presented, and a nonlinear adaptive position controller is designed.
介绍了一种步进电动机的非线性自适应控制方案，设计了步进电动机非线性自适应位置控制器。
This paper presents the design method of this type of nonlinear adaptive control system and its out loop trajectory tracking controller.
本文主要介绍这种非线性自适应控制系统及其外回路航迹跟踪控制器的设计问题。
This paper presents a novel nonlinear adaptive control method based on trajectory linearization control method (TLC) and neural networks.
基于轨迹线性化方法(TLC)及神经网络技术研究了一种新的直接自适应TLC控制方案。
This work develops a design approach to nonlinear adaptive control system with unknown parameters and applies it to excitation control of power systems.
针对含有未知参数的励磁系统，提出了一种非线性自适应控制设计方法。
A novel nonlinear adaptive control method is presented for a near-space hypersonic vehicle (NHV) in the presence of strong uncertainties and disturbances.
针对存在强烈不确定和干扰的近空间高超声速飞行器(NHV)，提出了一种新的非线性自适应控制方法。
In this paper, a nonlinear adaptive control scheme for missile control system with mismatched uncertainties is proposed on the basis of RBF neural networks and inverse control technology.
在导弹系统存在非匹配不确定性的情况下，提出了一种基于RBF神经网络和反演控制技术的神经网络自适应导弹控制系统的设计方法。
Based on RBF neural networks and backstepping control techniques, a nonlinear adaptive controller design method is proposed for missile control systems with a general set of uncertainties.
在导弹系统存在广义不确定性情况下，提出了一种基于反演设计技术和RBF神经网络的导弹非线性自适应控制系统设计方法。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊t - S模型和自适应模糊逻辑系统这两种模糊逻辑方式结合起来，提出了一种自适应控制方案。
Sliding mode variable structure (SMVS) is a nonlinear control method, which is adaptive to disturbance and parameter variations.
滑模变结构控制是一种非线性控制方法，对系统的参数变化和扰动具有安全的自适应性。
The engine state is monitored by nonlinear method cooperated with model reference adaptive control, which avoids flameout or fly-off.
对发动机状态进行非线性参考模型自适应监测，可以有效地防止发动机熄火或失速。
In this paper, it develops a novel decentralized adaptive fuzzy control for a class of large-scale nonlinear systems with higher order interconnections.
针对一类关联项的上界是高阶多项式的关联大系统，设计了一种新的分散自适应模糊控制方法。
This paper presents an integral sliding mode adaptive control scheme for a class of nonlinear system with uncertain parameters.
针对一类参数不确定的非线性系统，提出了一种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。
In this paper, an adaptive fuzzy sliding mode control scheme is proposed for nonlinear vibration systems.
本文针对非线性振动系统提出了一种模糊自适应滑模控制方案。
A new adaptive fuzzy control method for a class of uncertain nonlinear systems is presented.
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。
The design of the flight controller that exploits the advantages of the nonlinear dynamic inversion, adaptive fuzzy system and slide model control is discussed.
论述了综合运用非线性动态逆、自适应模糊系统和滑模控制的优点进行飞行控制律设计的方法。
While the controller is applied to controlling system about unit load of boiler, adaptive control of nonlinear big-lagged system is realized.
将该控制器应用于锅炉的单元机组负荷控制系统中，实现了对非线性和大时滞系统的自适应控制。
An indirect adaptive fuzzy sliding mode control design method for a class of nonlinear systems with unmatched uncertainties is proposed.
针对一类含非匹配不确定项的非线性系统提出一种间接自适应模糊滑模控制设计方法。
On the basis of this, a fuzzy-neural forecast controller is designed and robust adaptive control to the nonlinear big-lagged chaos system is realized.
在此基础上，又设计了模糊神经网络预测控制器，实现了对非线性、大时滞系统高精度的自适应控制。
The adaptive control of a class of stochastic nonlinear systems in parametric non strict feedback forms is studied.
论文研究了一类带参数非严格反馈形式的随机非线性系统的自适应控制问题。
A class of nonlinear neural network adaptive control systems is studied and a new design concept based on double errors was proposed in this paper.
本文研究一类非线性神经网络自适应控制系统，提出一种基于双误差——辨识误差和跟踪误差的新控制方案。
This paper proposed a new class of robust adaptive decentralized control strategies based on nonlinear sliding mode for trajectory tracking of robot manipulators with uncertainties.
提出了一类基于非线性滑动模的鲁棒自适应分散控制策略，用于不确定性机器人的轨迹跟踪。
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.
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。
A model switching algorithm based on multi-model adaptive control is presented to solve the problem of poor transient response in the adaptive control of nonlinear time-varying system.
针对非线性时变系统在自适应控制过程中瞬态响应差的问题，提出了一种基于多模型自适应控制的模型切换算法。
By using PWL method an optimal model set of nonlinear system multiple model adaptive control algorithm is given, which reduces the heavy computation burden in multiple model adaptive control.
给出了非线性系统多模型自适应控制算法的优化模型集建立方法，解决了多模型自适应控制模型多、计算量大的问题。
As an important branch in the field of intelligent control, fuzzy model based robust adaptive sliding-mode control for nonlinear systems has received more and more attention in recent years.
作为现代控制领域中的一个重要分支，基于模糊建模的非线性系统的鲁棒自适应变结构控制技术近年来受到了国内外控制界的广泛重视。
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.
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。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
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.
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。
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