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控制增益的英文

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"控制增益"怎么读用"控制增益"造句

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  • ride gain

例句与用法

  • The industrial furnace is a complex and unwieldy object for control . scholars of control are paying a good deal of attention to this problem ' s solution . in this paper robust self - regulating algorithms is put forward , base on human practical operating for adjust system " s gain
    基于人类在实际控制操作中调整控制增益的思想,提出一种鲁棒自校正模糊控制器,并针对两种不同对象进行了仿真研究,验证其性能指标优于传统模糊控制器。
  • Finally , based on the approximation capability of gengeralized multilinear fuzzy logic systems ( gmfls ) , a new scheme of decentralized adaptive fuzzy controllers for a class of multiple - input - multiple - output nonlinear systems with a triangular matrix function control structure is proposed
    最后针对一类具有下三角形矩阵函数控制增益的多变量非线性系统,并利用广义多线性模糊逻辑系统的逼近能力,提出了一种分散自适应模糊控制器设计的新方案。
  • Firstly , based on a modified lyapunov function and the approximation capability of the first type fuzzy systems , two new design schemes of decentralized adaptive fuzzy controller for two class of similar multivariable nonlinear continuous systems with a triangular matrix function control structure is proposed in this paper , respectively
    本文首先对两类结构相似的具有下三角形矩阵函数控制增益的多变量非线性连续系统,基于一种修改的李亚普诺夫函数,并利用第一类模糊系统(即具有线性可调参数的模糊系统)的逼近能力,分别提出一种分散自适应模糊控制器设计的方案。
  • The conventional variable structure control technique for uncertain system requires that the uncertainty bound is known as a premise to assure robustness . the requirement creates an over - conservative controller and enlarges chattering . the proposed controller regards the influence of unknown disturbances and parameter uncertainties as an equivalent disturbance and generates an on - line estimation used in smc to cancel the slowly varying uncertainties by the mechanism of time delay . the reaching law approach is used to get the conditions and band of quasi - sliding mode . the new methodology offers a robust feedback control with much lower gains and reduces chattering without a prior knowledge of the uncertainty bounds or matched conditions
    常规变结构控制用于不确定系统,须利用不确定性界确保系统的鲁棒性,控制器过于保守且抖振变大.本文把未知干扰和参数不确定性的影响等效为名义系统的外界干扰,利用时延技术对干扰进行在线估计,并将估计值引入到变结构控制中,从而抵消掉系统中的慢变不确定性,利用离散趋近律法,推出了准滑动模态的存在条件及其带宽.该方法克服了以往控制方法中须已知不确定性界的限制,且不必满足匹配条件,用较低的控制增益保证了系统的鲁棒性,降低了准滑动模态带即削弱了抖振
  • Abstract : the conventional variable structure control technique for uncertain system requires that the uncertainty bound is known as a premise to assure robustness . the requirement creates an over - conservative controller and enlarges chattering . the proposed controller regards the influence of unknown disturbances and parameter uncertainties as an equivalent disturbance and generates an on - line estimation used in smc to cancel the slowly varying uncertainties by the mechanism of time delay . the reaching law approach is used to get the conditions and band of quasi - sliding mode . the new methodology offers a robust feedback control with much lower gains and reduces chattering without a prior knowledge of the uncertainty bounds or matched conditions
    文摘:常规变结构控制用于不确定系统,须利用不确定性界确保系统的鲁棒性,控制器过于保守且抖振变大.本文把未知干扰和参数不确定性的影响等效为名义系统的外界干扰,利用时延技术对干扰进行在线估计,并将估计值引入到变结构控制中,从而抵消掉系统中的慢变不确定性,利用离散趋近律法,推出了准滑动模态的存在条件及其带宽.该方法克服了以往控制方法中须已知不确定性界的限制,且不必满足匹配条件,用较低的控制增益保证了系统的鲁棒性,降低了准滑动模态带即削弱了抖振
  • The main contribution of this dissertation is summarized as follows : 1 . through improving the choice of learning rate and implementing online adjustment of control plus , a simple and rapid single - nerve adaptive control method with learning ability is proposed , the effectiveness of which is proved by simulation
    论文的主要工作如下: 1通过对学习速率选取的改进和控制增益的在线调节,提出了一种简便而快速的具有学习能力的单神经元自适应控制方法,仿真结果验证了其有效性。
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