approximation error造句
例句与造句
- When nonlinear degree is high , the linear approximation error must be considered
因此在非线性程度较高时，必须考虑减少线性近似误差。 - This class , taught by the guest speaker , is devoted to the study of the approximation error , and some of its general properties
这堂课将由授课的特别来宾讲解近似误差原理及其一般特性。 - In order to improve the control performance of the closed - loop system , the adaptive compensation term of the approximation error is introduced
为改善控制系统的性能，引入逼近误差的自适应补偿项。 - Simulation results of a duffing forced - oscillation system confirm that the effect of the fuzzy approximation error on the tracking error can be attenuated efficiently by the proposed method
强迫震?系统的模拟结果确定在模糊近似误差的影响下，追踪误差能被有效的衰减。 - So a compensator is constructed , which is compensates the approximation error ' s effect on system output at the condition of the approximation error thought as disturbance of the system
所以利用系统跟踪误差构造线性最优补偿器，该补偿器用于减少逼近误差对系统跟踪误差的影响。 - It's difficult to find approximation error in a sentence. 用approximation error造句挺难的
- Since the fuzzy descriptions are imprecise and may be insufficient to achieve the desired accuracy , it is necessary to design a compensator to removing the influence of the approximation error
但是由于模糊系统本身的缺陷，逼近误差在一定条件下有可能较大，不能忽视，而且这种逼近误差必然会影响系统的跟踪误差。 - The equivalence between the mamdani type fuzzy systems using trapezoid or gauss membership functions and the piecewise interpolation functions is demonstrated . and the estimation of the approximation error is given
对mamdani系统，分析了隶属函数分别采用梯形和高斯型时一维模糊系统与函数插值的等价性和逼近误差。 - It is shown that the proposed scheme guarantees the stability of the closed - loop system and achieves tracking performance idex , meanwhile the influences of external disturbance , neural network approximation error and the cross - coupling of input to output on the tracking error are reduced to a prescribed level
该方法不仅保证了闭环系统的稳定，而且使外部干扰、神经网络逼近误差及输入对输出的交叉耦合对跟踪误差的影响衰减到给定的水平。 - The proposed approach overcome the disadvantages which the neural network need learning off - line before using as a controller and lack of real - time and can not guarantee stability of the system , hi order to eliminate the extern disturbance and approximation error of network , the controller design combine with robust control approach and the system possess robustness
基于lyapunov稳定性理论，推导出了神经网络权值在线学习规律，保证了系统的全局稳定性，同时，为了消除或减小外部干扰以及神经网络逼近误差，在控制器设计时结合了鲁棒控制方法，使得系统具有一定的鲁棒性。 - The mrafc scheme employs a reference model to provide closed - loop performance feedback for generating or modifying a fuzzy controller ' s knowledge base . the adaptive compensation term of optimal approximation error is adopted . by theoretical analysis , the closed - loop fuzzy control system is proved to be globally stable , with tracking error converging to zero
该方案利用参考模型作为闭环系统的反馈信号来产生、调节模糊控制器的规则库，并通过引入最优逼近误差的自适应补偿项来消除建模误差的影响，不但能保证闭环系统稳定，而且可使跟踪误差收敛到零。 - Firstly , based on backstepping and the supervisory control strategy , a robust adaptive fuzzy controller is designed for a class of nonlinear systems . the first type fuzzy logic system is used to approximate the unknown part of the process . the adaptive compensation term of the optimal approximation error is adopted
本文首先针对一类不确定非线性系统，基于backstepping方法，利用监督控制，引入最优逼近误差的自适应补偿项，并利用型模糊逻辑系统逼近系统的未知部分，提出了一种鲁棒自适应模糊控制器设计方案，运用李亚普诺夫第二方法，先证明了闭环模糊控制系统全状态有界，再证明了跟踪误差收敛到零。 - Secondly , based on a modified supervisory control strategy and the approximation capability of generalized multilinear fuzzy logic systems ( gmfls ) , a new scheme called model reference adaptive fuzzy control ( mrafc ) for a class of siso nonlinear systems is proposed , the external disturbances and the approximation error are considered
其次针对一类具有siso的不确定非线性系统，同时考虑外界干扰和建模误差，基于一种修改的监督控制方案并利用广义多线性模糊逻辑系统的逼近能力，提出一种模型参考自适应模糊控制器设计的新方案。 - Abstract : in this paper a new identification model constructed by neural networks with modified inputs and stable filters is presented for continuous time nonlinear systems in order to reduce the inherent network approximation errors . an adaptive law with projection algorithm is employed to adjust the parameters of networks . under certain conditions , convergence of the identification error is proved
文摘:在用神经网络进行系统建模时，建模误差的存在是难免的.为了减小这种误差，本文对连续时间非线性系统提出了一种新的神经网络辨识模型，它是由带有输入修正的神经网络和稳定滤波器组合而成.文中给出了权值的学习算法，即权值是根据辨识误差的投影算法来改变，证明了在一定条件下辨识误差的收敛性 - Because the extension of dynamic change in weak nonlinear system is not large , the robust reliable controller designed by ldi can make the whole controlled system stable when time lag and faults exit in the system , at the same time , satisfying robust performance index of the system . next , considered that the approximation error produced by ldi , the unmodeling error produced by system , the parameter uncertainties and the external disturbances can not be ignored , a dynamic neural network controller is designed to compensate their effect on line . adjusted by the state output error between the ideal model and the controlled system , the cooperation of on - line network compensator and linear h _ ( ) controller of ideal model makes the whole close - loop system guar antee robust stability and track the specified signal well
本文在基于线性微分包含( ldi )的技术基础上，提出了两种非线性系统的鲁棒控制方法，首先讨论了一类弱非线性时滞控制系统中的鲁棒可靠控制器设计问题，由于弱非线性系统本身的动态变化范围不大，在确保整个系统鲁棒性能指标的前提下，当系统存在时滞和故障时，通过ldi设计出的鲁棒可靠控制器可以镇定整个被控系统；其次，在考虑运用ldi技术产生的逼近误差、系统本身的未建模误差及参数不确定性以及外部扰动的影响不能被忽略的情况下，设计了在线补偿这部分影响的动态神经网络控制器，在理想模型和被控系统状念输出误差的调节作用下，在线神经网络补偿器与理想模型的线性h _控制器相互配合，使得整个闭环系统既可以保证鲁棒稳定性又能够跟踪给定的指令信号。 - Adaptive bounding technique is used to deal with unknown boundedness of approximation errors . the arbitrary output tracking accuracy is achieved by tuning the design parameters . thirdly , based on the results in chapter 3 , two design approaches of adaptive iterative learning control ( ailc ) are proposed for two classes of parametric nonlinear time - delay systems
神经网络用于逼近未知的非线性时滞函数，当状态不可测时，采用时滞滤波器估计系统状态，利用backstepping技术设计权值自适应律和控制律，占优化方法处理时滞基函数，自适应界化技术处理逼近误差的未知上界，通过调节设计参数可以实现对目标轨线任意精度的跟踪。
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