• South Africa then passed a strong tobacco control law that came into force in 2000.

    南非随后又通过了一项强有力的烟草控制法律,该法律于2000年生效。

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  • This paper provides an adaptive fast sampling control law to compensate for changing aircraft parameters by the parameter adaptive control techniques.

    利用参数自适应控制技术,提出了一种能够自适应补偿飞机参数变化的快速采样控制律。

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  • The simulation example shows that control law can guarantee fast convergence of error as well as robustness of parameter uncertainties and external disturbances.

    仿真实例表明,该控制律能保证误差的快速收敛性及对参数不确定性和外部扰动的鲁棒性。

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  • By duality approach, we characterize the optimal control law.

    并用对偶方法刻画了最优控制律的特征。

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  • The adaptive control law and constrain condition are derived out.

    推导了自适应控制律与约束条件。

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  • The proposed control law can guarantee the system uniformly ultimately bounded.

    所设计的控制器可保证闭环系统一致最终有界。

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  • Based on this, the optimal control law is transformed into the optimal repetitive control law.

    在此基础上,再将最优控制律转化为最优重复控制律。

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  • By feedback cancellation technique, a state feedback control law is obtained by pole placement.

    基于反馈对消技术的应用,通过极点配置获得状态反馈控制律。

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  • The LQ is adapted to the flight control law design such as the Normal Acceleration control system.

    并以法向过载控制模态为例,将线性二次型运用到飞行控制系统的控制律设计中。

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  • Then a new robust nonlinear coordinated control law for SVC and generator excitation is developed.

    二者相结合提出了一种新的SVC与发电机励磁的鲁棒非线性协调控制律。

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  • By taking a finite - time iteration of the compensation sequence, a suboptimal control law is obtained.

    取补偿项序列的有限次迭代值,获得次优控制律。

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  • The second step is to determine a switched control law to guarantee the reaching and sliding condition.

    第二步即设计切换控制律,保证到达条件和滑动条件。

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  • Under certain conditions, it is proved that optimal control law is the solution of nonlinear equations.

    在一些假定条件下,证明了最优控制为一非线性方程组的解。

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  • An attitude control law for single axial direction control of an exoatmospheric interceptor is put forward.

    针对单轴定向大气层外拦截器设计了一种姿态控制律。

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  • The control law of this kind of parallel flexible system is studied based on a 3-DOF parallel wire driven robot.

    以一种3自由度并联柔索驱动机器人为研究对象,研究这种并联柔性系统的控制规律。

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  • The base control law is designed in dynamic inversion and neural networks are used to reconstruct inversion error.

    基本控制律采用非线性动态逆方法设计,神经网络用于对逆误差进行重构。

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  • The optimal control law is derived from dynamical programming equation and the bounded control constraints condition.

    在控制力为有界的条件下,从动态规划方程中可以导出最优控制规律;

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  • On the basis of that, linear state feedback control law is designed to ensure the stability and security of power system.

    在此基础上,设计线性状态反馈控制规律,使得电力系统的运动状态保持稳定。

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  • The robust adaptive control law is proposed for a HVDC power modulation controller of the interconnected AC/DC power system.

    设计了应用于交直流互联电力系统的直流功率调制的非线性鲁棒自适应控制器。

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  • The thesis adapts traditional PID control and intelligent PID control theories to study the design of UAV's fight control law.

    本文主要利用常规PID控制和智能PID控制的理论来研究无人机飞行控制律的设计。

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  • The developed control law contains two parts which compensate matched uncertainties and mismatched uncertainties respectively.

    该控制器分为两部分,分别对匹配不确定项和不匹配不确定项进行补偿。

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  • Some finite iterative result of the two-point boundary value problem sequence is taken as a suboptimal control law of the system.

    从而将两点边值问题解序列的有限次迭代结果作为系统的次优控制律。

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  • The design scheme of the classical D-type iterative learning control law depends on the relative degree of the controlled systems.

    传统的D型迭代学习控制的控制律设计方案依赖于被控系统的相对度。

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  • Based on the engine mathematical model and engine control law, the optimal control for turbo shaft engine acceleration is investigated.

    在了解原型发动机数学模型和控制规律的基础上,对涡轴发动机加速过程的最优控制问题进行了研究。

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  • It researches the ship lateral movement multivariant stochastic control law on the basis of multivariant stochastic optimum control theory.

    本文基于多变量随机最优控制理论研究船舶横向运动多变量随机控制规律。

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  • It researches the ship lateral movement multivariant stochastic control law on the basis of multivariant stochastic optimum control theory.

    本文基于多变量随机最优控制理论研究船舶横向运动多变量随机控制规律。

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