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1)  unknown disturbance
未知扰动
1.
A qualitative control approach based on quantitative model is proposed for a nonlinear system with model uncertain factor and unknown disturbances.
针对模型中含有不确定因素的含未知扰动的非线性系统给出了一种基于定量模型的定性控制方法 ,此方法具有模糊控制的控制效果 ,避免了模糊控制器设计中存在主观性和模糊规则难以获取等缺点。
2.
Under the reasonable conditions,a reduced-order subsystem,which is decoupled from the unknown disturbances,is separated from the original system by using a state transform.
研究具有未知扰动的随机广义系统的故障检测问题,在合理的条件下,利用状态变换从原系统中分离出一个与未知扰动解耦的降阶子系统,构造了该随机子系统稳定的滤波器,给出了输出偏差量的统计特性,在此基础上,实现了系统故障的检测。
3.
In order to solve the problem,all the unknown factors are regarded as unknown disturbance,and the Extended state observer is applied.
针对上述情况,把各种因素视为未知扰动,利用扩张状态观测器进行观测。
2)  unknown bounded disturbance
未知有界扰动
1.
Combining the reference signal with a strict-feedback nonlinear continuous system with unknown bounded disturbances and constant unknown parameters,an error system was constructed and its inverse optimal robust adaptive control problem was solved.
针对具有未知定常参数和未知有界扰动的严格反馈非线性系统,结合参考信号,构造了误差系统,并解决了其逆最优控制问题。
3)  unknown interference
未知干扰
1.
Unknown interference and noise are ubiquitous in the complexity multi-antennas environment.
因此,为了删除MIMO系统中的未知干扰,该文建立了非精确CSI下的系统模型,模型中的非线性函数表示MIMO系统中的干扰。
4)  unknown input and output disturbance
未知输入输出扰动
5)  unknown time-varing bounded disturbance
未知时变有界扰动
1.
This paper introduces the hasic idea of inverse optimal control, gives the solvable theorem of inverse optimal gain assignment problem, designs the inverse optimal controller using an adaptive backstepping algorithm for strict-feedback nonlinear continuous systems with unknown time-varing bounded disturbances and constant unknown parameters, which is nonlinear, continuous and is easier to realize.
本文较详细地介绍了逆最优控制的基本思想,针对一类具有未知定常参数和未知时变有界扰动的严格反馈非线性系统,给出了逆最优增益配置定理,使用Backstepping算法,设计了逆最优控制器,该控制器是非线性的、连续的,且比较容易实现,仿真结果表明该控制算法的有效性。
6)  undisturbed flow
未扰动数
补充资料:络多未知
【络多未知】
 (杂语)译曰赤泥。伽蓝名。西域记十曰:“络多未知僧伽蓝Raktamr!ttikasamgharama(Raktaviti),唐言赤泥。”
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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