Its major feature is that it can provide a tracing network to identify system model so as to determine the network parameters of the controller and realize an indirect adaptive neural network control.
其主要特点是能够提供一个跟踪网络来辩识系统模型，进而确定控制器的网络参数，实现间接自适应神经网络控制。
The simulation results prove that the neural network controller has self-learning and self-adaptive ability by comparison with PD controller. The position tracking control obtains satisfactory effect.
结果表明，相对于常规PD控制器，该神经网络控制器具有自学习、自适应功能，位置跟踪获得了满意的控制效果。
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 paper proposes a method of using neural network model reference adaptive controller to control machining process.
本文提出了用神经网络模型参考自适应控制器对加工过程进行控制的方法。
Each subsystem is designed using adaptive control with neural network compensation. The stability of the system is guaranteed by the proposed parameter and weight turning law.
各控制子系统的设计采用自适应控制和神经网络相结合的方法，所提出的参数和权重的自适应调整律保证系统的稳定性。
A plan of model reference adaptive tracking control for nonlinear systems is introduced based on neural network dynamic inversion (NNDI).
基于神经网络动态逆方法，给出了一种非线性模型参考自适应跟踪控制方案。
The results of simulation show that the existing control problem of the plant can be successfully solved by neural network, adaptive inverse control and the result is good.
仿真结果表明，神经网络、自适应逆控制方法可以成功地解决装置中现有的控制问题，并取得良好的效果。
A new robot model reference adaptive control method based on neural networks is presented.
提出一种新的基于神经网络的机器人模型参考自适应控制方法。
A scheme of adaptive control based on recurrent neural network is presented for a class of nonlinear systems only with a nonlinear part.
基于递归神经网络给出了仅含一个非线性环节的一类非线性系统的自适应控制方案。
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。
Aiming at the problem of traditional PID control algorithm is difficult to get ideal control effect, an adaptive PID control algorithm based on BP neural network is proposed.
针对传统的PID控制算法很难获得比较理想的控制效果的问题，提出一种基于BP神经网络的自适应pid控制算法。
An adaptive radial basis function neural network (ARBFNN) power control scheme is proposed.
提出了一种自适应r BF神经网络功率控制方案。
This paper presents a class adaptive pole assignment control of servo systems based on neural state estimation and develops the system structure and the weight learning algorithms.
提出了一类基于神经元状态估计器的自适应广义极点配置控制，研究了该控制系统的网络结构和权值学习方法。
Then, aiming at the existing problem, the algorithm of dynamic recurrent neural network, RBF neural network and adaptive inverse control is studied in the paper.
接着，结合其存在的问题，对动态递归神经网络、R BF神经网络和自适应逆控制进行了算法研究。
This paper firstly introduces an extended plant adaptive neural network model which can be on-line adapted conveniently, then presents a method of active noise control using adaptive neural networks.
本文首先引入一个能方便进行在线自适应的扩展控制对象自适应神经网络模型，在此基础上提出一种噪声有源控制的自适应神经网络方法。
Then, applying adaptive control system based on improved fuzzy neural network, a TCBR controller is designed.
然后应用一种改进的模糊神经网络自适应控制系统，设计了TCBR的控制器。
A simple adaptive control scheme for a yacht based on neural networks has been described.
本文描述了一个简单的基于神经网络的小型帆船自适应舵的控制方案。
The neural network adaptive attitude control system is designed based on model reference adaptive control theory and combination of online neural network with augmented model inversion.
首先根据模型参考自适应控制理论，将模型逆与在线神经网络结合，设计了神经网络自适应姿态控制系统。
This paper presents a kind of adaptive neural network nonlinear systems control method based on genetic algorithms.
提出一种基于遗传算法的神经网络非线性自适应控制方案。
The robust adaptive flight control system design with neural network of attack helicopter is studied in this dissertation and super maneuver nimble of attack helicopter is realized.
本文就武装直升机大机动、高敏捷性神经网络鲁棒自适应飞行控制系统的设计问题展开研究。
Based on the self-learning property of neural network, an adaptive control method for speed ring of a gyroscope-stabilized platform is put forward in the paper.
提出一种利用神经网络的自学习特性，对陀螺稳定平台的速度环进行自适应控制的方法。
The neural network-based adaptive control and fuzzy logic are integrated based on feedback learning algorithm.
在反馈学习算法的基础上，将模糊逻辑和神经网络自适应控制的结构结合在一起。
In view of the nonlinearity and parameter time-varying uncertainty of vehicle dynamics, a novel algorithm, i. e. single neural adaptive PID control strategy, is propsed for vehicle direction control.
针对汽车方向动力学控制存在的非线性和参数时变不确定性问题，提出了一种新的基于单神经元的汽车方向自适应pid控制算法。
An adaptive neural network attitude control system is designed based on model reference adaptive control theory and combination of online neural network with augmented model inversion in this paper.
本文根据模型参考自适应控制理论，将旋转动力学逆与在线神经网络结合，设计了自适应姿态控制系统。
The problem of direct adaptive neural network control for a class of interconnected systems with unknown constant control gains is studied in this paper.
研究了一类具有未知常数控制增益的耦合大系统的直接自适应神经网络控制问题。
A new neural network adaptive control scheme is presented and its applications to aero-engine control system are researched.
本文研究神经网络自适应控制方法及其在航空发动机控制中应用。
Besides, an adaptive neural fuzzy control method is proposed to control the system, simulation results show the control method can better improve the steering portability and sensitiveness.
本文对电动助力转向系统设计了自适应模糊神经网络控制器，仿真结果表明该控制器能较好提高汽车转向时的轻便性和灵敏性。
And it proposes an indirect adaptive neural network law. This law optimizes the control structure and improves the quality of control.
针对悬架系统的辨识和控制过程，本文提出一种神经网络间接自适应控制方法，优化了控制结构，提高了控制精度。
And it proposes an indirect adaptive neural network law. This law optimizes the control structure and improves the quality of control.
针对悬架系统的辨识和控制过程，本文提出一种神经网络间接自适应控制方法，优化了控制结构，提高了控制精度。
应用推荐