| 1. | 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。 |
| 2. | 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。 |
| 3. | 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。 |
| 4. | 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。 |
| 5. | 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。 |
| 6. | 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。 |
| 7. | 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。 |
| 8. | 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。 |
| 9. | 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。 |
| 10. | 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。 |
