The stability of whole robust neural network control system is analyzed.
论文从理论上分析了整个鲁棒神经网络控制系统的稳定性。
This paper presents a parallel topology structure of fusion based on the new concepts of robust neural network and mixed fuzzy reason.
本文基于鲁棒神经网和混合模糊推理新概念，提出了融合的并行拓扑结构。
Because of the flexible structure, retrainable and strong robust, the neural network can come to be an effective model method.
由于神经网络特有的结构灵活性、可重新训练性和强鲁棒性，使得它可以成为一种有效的几何造型手段。
Introduction was made to a neural network robust adaptive controller, which can be applied in model unknown control system.
介绍了神经网络自学习鲁棒自适应控制器，该控制器可以应用在模型未知的控制系统中。
In this paper neural network partial least square (NNPLS) was used to establish a robust reaction model for a multi-component catalyst of methane oxidative coupling.
神经网络偏最小二乘法(NNPLS)被应用于一种甲烷氧化偶联多组分催化剂的鲁棒反应模型的建立。
But the robust performance is improved obviously when the closed loop gain shaping control algorithm is introduced into the ship motion system on the basis of neural network control in the thesis.
本文在神经网络直接控制船舶运动控制基础上，引入闭环增益成形算法构成闭环控制，以提高系统对环境干扰和过程参数摄动的鲁棒性。
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。
Design for robust controller of uncertain neural network with time-varying delay was analyzed.
对不确定变时滞神经网络系统的鲁棒控制器的设计进行了分析。
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。
The computer simulation results show that the neural network supervisory control has more adaptive ability and robust than that of a PID controller, and the control precision is increased.
对压水堆功率控制过程进行了计算机仿真，仿真结果表明，与传统的PID控制相比，神经网络监督控制具有较强的自适应能力和鲁棒性，有效地提高了控制系统的精度。
The problem of exponential stability and robust stability for a class of discrete-time neural network with time-varying delay is investigated.
研究了一类时滞离散神经网络指数稳定及鲁棒稳定问题。
The self-aligning controller neural network-based not only has simple structure, but also has strong robust character and acclimatization.
这种神经网络自校正控制器不但结构简单，且能适应环境变化，有较强的鲁棒性。
The robust controller is designed using linear Matrix Inequality (LMI) for the nominal linear flight system. And then, the uncertain nonlinear input term is compensated using the neural network.
由线性矩阵不等式(LMI)设计系统标称部分的鲁棒控制器，然后利用神经网络的输出来消除系统控制输入中的不确定部分。
A compound approach with a set of improved robust observers on fault diagnosis on nonlinear system, with a dynamic neural network deciding parameters, is illustrated with an instance of 3-tank model.
该方法将一组改进的鲁棒观测器与一个为其确定参数的动态神经网络相结合，对非线性系统进行故障诊断。
Three-Layer Neural Network is used to compensate the modeling errors and a robust control is also designed to add the anti-interference ability of system.
该方案采用神经网络补偿系统中的非线性部分，设计了鲁棒项来增加系统的抗干扰能力。
Simulation res ults prove that this new multi-step prediction based on PID-like neural network control system can effectively attenuate random noise interference and is more robust and adaptive.
仿真实验表明，基于多步预测的PID型神经网络控制系统能有效抑制随机干扰，具有较强的适应性和鲁棒性。
Simulation res ults prove that this new multi-step prediction based on PID-like neural network control system can effectively attenuate random noise interference and is more robust and adaptive.
仿真实验表明，基于多步预测的PID型神经网络控制系统能有效抑制随机干扰，具有较强的适应性和鲁棒性。
应用推荐