由于HTTP是不确定有效负载的，它确实缺少一个在RPC消息中表示参数值的机制。
Since HTTP is payload agnostic, it does lack a mechanism for representing parameter values in the RPC messages.
针对分布式发电系统负载的不确定性，为提高系统的适应性，文中在逆变环节采用四桥臂逆变器。
Three-phase four-leg inverter is used in the inverter link to improve the adaptability of the system because loads in distributed generator are uncertain.
针对液压伺服马达的参数不确定性以及负载转矩脉动等问题，提出了一种鲁棒转速控制器的设计方法。
A design method of a robust rotational velocity controller of water hydraulic servomotor was presented for the uncertain parameters and the load fluctuation.
针对机器人动力学模型的不确定性和负载扰动，提出了一种采用神经网络的机器人迭代学习控制方法。
Aiming at dynamic model uncertainties and load disturbances of robot manipulators, an iterative learning control scheme using neural networks is presented.
针对电动机控制系统中难以建立精确数学模型以及负载扰动等不确定性因素，无法使传统控制理论取得良好的应用效果，设计了一种智能电机控制方法。
Aiming at uncertain factors such as the load disturbance and it is difficult to establish accurate mathematical model in motor control system, traditional control theory can not be made good effect.
针对感应电机转子电阻与负载转矩的不确定性，在设计控制器时，引入与不确定性参数相对应的可调参数。
Considering the uncertainty of rotor resistance and load torque, adjusted parameters corresponding to uncertain ones were introduced.
在实际运行中，各种不确定性因素都会影响永磁同步电机的性能，其中负载扭矩的变化对系统性能的影响最大。
In actual operation, the performance of PMSM can be affected by various uncertainties, the greatest impact on system performance is the changes in the load torque.
采用该方法设计的控制器不仅能满足系统对快速性和稳态精度的要求，而且有效抑制了负载变化和不确定性扰动对系统的影响。
The designed controller not only satisfies the rapid and steady-state accuracy demands, but also effectively resists to the change of the rudder load and external disturbance.
针对多轴转台中负载转动惯量和干扰力矩的不确定性，提出了一种离散的模型参考自适应控制方法。
In view of the uncertainty in the load moment of inertia and the disturbance of test table with three or more axes, a discrete time model reference adaptive control is presented in this paper.
针对多轴转台中负载转动惯量和干扰力矩的不确定性，提出了一种离散的模型参考自适应控制方法。
In view of the uncertainty in the load moment of inertia and the disturbance of test table with three or more axes, a discrete time model reference adaptive control is presented in this paper.
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