制导和控制一体化的设计方法充分考虑了制导和控制回路的不确定性和未建模动态。
Uncertainties and unmodelled dynamics are taking into consideration in this integrated approach to guidance and control.
由于柔性机械手具有复杂的动力学模型，因此不可避免存在参数不确定性和未建模动态。
There inevitably exist the parametric uncertainty and unstructured uncertainty due to the complex dynamics of flexible-link manipulators.
本文介绍带有未建模动态的倒立单摆非线性模型的全局自适应实际跟踪输出控制器的设计。
This paper introduces an adaptive practical output tracking control algorithm for inverted pendulum which is a nonlinearly parameterized system with unmodeled dynamics.
系统中含有的未建模动态是更广泛的输入到状态实践稳定，非线性不确定性满足三角界条件。
The more extensive unmodeled dynamics introduced is input-to-state practical stable (ISpS), and unknown nonlinearities satisfy triangular bound conditions.
针对控制幅值受限的、含稳定的未建模动态和有界干扰的对象，给出了一种鲁棒加权预报自校正控制算法。
An algorithm for robust weighted prediction self-tuning control is proposed for the plant with control action constrained in this paper.
针对一类同时含未建模动态、非线性不确定性和参数不确定性的非线性系统，研究它的鲁棒自适应控制问题。
The paper studies the problem of robust adaptive control for a class of nonlinear systems subject to unmodeled dynamics, nonlinear uncertainties and parameter uncertainties.
系列简化和假设导致实际物理系统和数学模型之间的差异，主要包括有系统参数变动，未建模动态特性，未建模时滞等等。
The difference between the physical system and the mathematical model arises from many sources, including parameter changes, un-modeled time-delays, and so on.
对被控对象模型中的不确定性进行了，针对设计中主要考虑的输入延时和高频未建模动态，建立了非结构化乘性不确定性模型。
The uncertainty of the controlled object modeling was analyzed. As for the time delay and high frequency no modeling considered in design, the uncertainty modeling of non structure was found.
因此基于数学模型设计的控制器，在实际应用中就可能受未建模动态和鲁棒性的影响，它们是所有的基于模型的控制理论和技术不可避免的本质问题。
Therefore, the controller designed based on mathematical models may be subject to impaction of unmodeled dynamics and robustness in practical applications, they are inevitable problem in nature.
因此基于数学模型设计的控制器，在实际应用中就可能受未建模动态和鲁棒性的影响，它们是所有的基于模型的控制理论和技术不可避免的本质问题。
Therefore, the controller designed based on mathematical models may be subject to impaction of unmodeled dynamics and robustness in practical applications, they are inevitable problem in nature.
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