Gaussian based radial basis function (RBF) neural networks are used to approximate the plant's unknown nonlinearities, and a high-gain observer is used to estimate the unmeasured states of the system.
用高斯径向基函数(RBF)神经网络逼近对象未知非线性，用高增益观测器估计系统不可测量状态。
A nonlinear robust controller with a high gain observer (ONRC) was developed for a decentralized robust controller for use when not every derivative of the output is measurable.
为克服分散鲁棒控制器设计中输出量各阶导数可测要求的限制，设计了带有高增益观测器的非线性鲁棒控制器。
By introducing integral variable structure and high gain observer, the closed-loop control systems is shown to be globally stable in terms of Lyapunov theory, with tracking error converging to zero.
通过引入积分型变结构切换函数及高增益误差观测器，基于李雅普·诺夫稳定性理论，证明了闭环系统是全局稳定的，输出跟踪误差都收敛到零。
A high gain observer is employed to obtain the estimation of states and then output feedback controller is constructed.
估计状态通过引入高增益观测器得到，实现了系统的输出反馈控制。
The method presents the parametric expression for the gain matrix of the high-order PI observer. The contained parameters satisfy the needs of two constraints and are completely free as well.
该参数化方法给出了该类观测器增益矩阵的参数化表达式，其所含参数除了满足两个约束条件之外是完全自由的。
The method presents the parametric expression for the gain matrix of the high-order PI observer. The contained parameters satisfy the needs of two constraints and are completely free as well.
该参数化方法给出了该类观测器增益矩阵的参数化表达式，其所含参数除了满足两个约束条件之外是完全自由的。
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