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Simulation results indicate that the estimation and prediction of the mutli-temporal moisture content can be improved when the dry-up or wet-down process is properly modeled.
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仿真结果显示若土壤渐干或渐湿的变化可更准确地模式化,应可改善多时序土壤湿度预测的准确度。 |
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Simulation results of a Duffing forced-oscillation system confirm that the effect of the fuzzy approximation error on the tracking error can be attenuated efficiently by the proposed method.
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强迫震盪系统的模拟结果确定在模糊近似误差的影响下,追踪误差能被有效的衰减。 |
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Simulation results of the fuzzy adaptive control method in the location control and the trajectory tracking with different tip disturbances are presented and compared with the results of the classic PD control.
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在柔性操作臂末端带有不同载荷的情况下,分两种类型进行了控制仿真实验:定位控制和轨迹跟踪控制。 |
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Simulation results of the method for a three-level inverter feeding induction motor are presented.
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根据不同的运行速度,选用不同的电压空间矢量进行线性组合,控制电机的定子磁链和电磁转矩。 |
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Simulation results prove that the method is more feasible on the optimization of target value.
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仿真结果表明,此方法对目标函数的优化结果更加有效。 |
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Simulation results prove the feasibility of rhombic configuration of wheels because its steering dynamics is comparable to that of vehicles with traditional configuration of wheels.
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与相关统计数据对比分析表明,采用菱形方式布置车轮除了在低速时具有灵活的转向特性外,高速时具有与传统车轮布置方式相当的动态转向响应特性。 |
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Simulation results show its effectiveness.
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最后进行了计算机仿真验证。 |
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Simulation results show that better atomization can be realized by enhancing the cavitation intensity via increasing the injection pressure difference or decreasing the nozzle inlet round angle-radius ratio.
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通过模拟计算可知,提高喷射压差和减小喷孔入口圆角半径都可以提高空穴强度,同时也发现提高喷孔长径比可以使空穴在喷孔出口截面上分布更为均匀。 |
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Simulation results show that the algorithms above satisfy the requirements of engineering.
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仿真实验证明,这两种各具特点的算法都有足够的适用性能。 |
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Simulation results show that the controller has dual property: On one hand eliminating the uncertainty of system parameters through learning and on the other hand, coping with the random disturbance, thus preferable parameter estimation results and contro
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仿真表明:控制律一方面通过学习可消除系统参数的不确定性,另一方面可有效的对付环境的随机干扰,从而能够获得较好的辩识结果与良好的控制目标。 |
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Simulation results show that the mean relative error of the soft sensing method is less than 0.7% and can meet the practical demands.
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仿真结果表明,该软测量方法估计的平均相对误差保持在0.7%以下,可满足实际需要。 |