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。
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。
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。
Combining both kinds of fuzzy logic forms including fuzzy t s model and adaptive fuzzy logic systems, this paper presents an observer based control scheme for a class of nonlinear systems.
针对一类非线性系统，把模糊tS模型和自适应模糊逻辑系统两类模糊逻辑方式结合起来，提出了一种基于观测器的控制方案。
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。
A new adaptive control algorithm is proposed in this paper to compensate nonlinear terms in the dynamic equation of robot and decouple the dynamic interaction among the joints.
本文提出一种新的自适应控制算法，用于补偿机器人动力学方程中的非线性项和消除关节间的耦合。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking 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两种模糊逻辑方式结合起来，提出了一种基于观测器的跟踪控制方案。
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 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。
By using a concept of adaptive expected output and modern control theory, a dynamic adaptive Cournot model, which the inverse demand curve function is nonlinear in the market, is established.
本文通过引入自适应期望产量的概念，利用现代控制工程理论建立了市场非线性反需求函数下的自适应动态古诺模型。
A new fuzzy adaptive control method based on a T-S fuzzy model is proposed for the nonlinear and time-variant navigation systems of sailboats.
针对非线性、时变的帆船航行系统，提出了一种基于T - S模糊模型的帆船模糊自适应控制新方法。
In this paper, a novel adaptive control approach based on fuzzy basis function vector is presented for Multi input and Multi output (MIMO) nonlinear systems.
针对多输入-多输出(MIMO)非线性系统基于模糊基函数向量提出了一种新的自适应控制方法。
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。
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。
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。
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。
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。
The control algorithm based on the model is simple, adaptive and useful in nonlinear and time delay field.
基于修正模型推导出的控制算法，简单，具有在线自适应性，适于解决非线性时滞问题。
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 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。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking 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。
The problem of adaptive stabilization for a class of nonlinear systems with unknown parameters both in state vector and control vector is studied.
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。
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。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
本文以小波网络和多模型理论为基础，对复杂非线性动态系统的辨识和控制方法进行了研究。
Adaptive inverse control is a very simple and highly effective way for controlling linear or nonlinear control systems.
无论对于线性的还是非线性的对象，自适应逆控制都是一种简单而有效的控制方法。
Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an observer-based tracking control scheme for a class of nonlinear systems.
针对一类复杂非线性系统，把模糊t - S模型和自适应模糊逻辑系统结合起来，提出了一种跟踪控制方案。
This method of adaptive fuzzy control can tune the parameters of controller on-line. These questions of nonlinear and uncertainties about vehicle semi-active suspension systems are well solved.
该模糊控制方法可以在线自适应调整模糊控制的有关参数，较好地解决了汽车半主动悬架系统存在的非线性与不确定性问题。
The intelligent adaptive reconfigurable control for a class of complex nonlinear dynamic system with uncertainty and (or) time-delay is studied in this dissertation.
本文研究了一类具有时滞和（或）不确定性的复杂非线性系统的智能自适应重构控制问题。
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。
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