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。
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。
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。
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 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 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。
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。
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。
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。
We propose a new method for robust adaptive back stepping control of nonlinear systems with parametric uncertainties and disturbances in the strict feedback form.
本文针对具有未知参数不确定和干扰的严格反馈型的非线性系统鲁棒自适应控制提出了一种新的设计方法，即动态面控制。
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。
The adaptive fuzzy control for nonlinear systems with large working range and high order is studied by using fuzzy dynamic models.
采用模糊动态模型研究大范围、高阶非线性系统的自适应模糊控制问题。
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 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。
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。
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。
As an important branch in the field of intelligent control, fuzzy adaptive control for nonlinear systems has been received more and more attention in recent years.
近年来，作为智能控制研究领域的一个重要分支，非线性系统的模糊自适应控制引起了越来越多学者的重视。
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。
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。
Complicated nonlinear systems such as aircraft engines. PID control method which is based on precise mathematical model has poor adaptability and is not adaptive to nonlinear and time-variant plants.
对于像航空发动机这样复杂的非线性系统，基于对象精确数学模型的PID控制方法的自适应性较差，难以适应具有非线性、时变不确定性的被控对象。
The paper studies the problem of robust adaptive control for a class of nonlinear systems subject to unmodeled dynamics, nonlinear uncertainties and parameter uncertainties.
针对一类同时含未建模动态、非线性不确定性和参数不确定性的非线性系统，研究它的鲁棒自适应控制问题。
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。
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。
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