Feedforward neural networks for modeling a nonlinear system are used to obtain its nonlinear model 利用前馈神经网络建立对象的非线性预测模型,在不同工作点做阶跃响应,建立其局部线性模型。
Then , the model of house is set up with system identification method after the model has been analyzed in theory 根据所建立的数学模型对阶跃响应的仿真结果和实测温度进行比较,从中可以选择所需精度的数学模型。
Based on the test system of unloading valve , the step response method is used to acquire the step response curve of this system 以卸荷阀性能测试系统作为研究对象,利用阶跃响应法获得系统的阶跃响应曲线并求得了系统的传递函数。
This paper applied many methods to eliminate the estimation error of the flux linkage . finally , a sensor - less dtc pmsm system is implement and has a good performance 系统的调速范围可达1 : 100 ,电机额定转矩的阶跃响应时间为1ms ,动态响应优秀。
The result indicated that the system had good step response and tracking performance and met the requirement of quantitative control of cycling power 结果表明所设计控制系统阶跃响应性能良好,并有较好的跟踪性能,能够满足训练者运动定量控制的要求。
It was found that the start - up and step response time of pem fuel cell was in the order of seconds , which was similar to the simulation results of most presently used models 结果表明:电池的启动时间和阶跃响应时间均为秒的数量级,与大多数模模拟的结果相一致。
The time domain property test contains static property test and step response test . depended on the result of the test , the transfer function of the system was deduced 时域特性测试包括致动器静态特性测试和阶跃响应特性测试,并根据测试结果分析了被控对象的传递函数。
For iir , after researching pulse response method , step response method , bilinear transform method , direct design method , it is found that iir is unsatisfactory 对iir的脉冲响应不变法、阶跃响应不变法、双线性变换法和直接设计法进行研究,得出iir难以满足要求的结论。
I contrast this method with pid control method , and then i see that as far as the step response is concerned , my approach is not much advantageous than pid control method 并将它与传统的pid控制对比,发现单单就阶跃响应来看,模糊自适应控制与常规pid控制比较无优势可言。
The temperature of resistor - furnace is a one - order inertial pure lagging system . by making computer simulation with matlab and adjusting kp , we obtain a satisfied step response curve 电阻炉炉温为一阶惯性纯滞后系统,通过matlab进行计算机仿真,调节kp的值,可得到较为理想的阶跃响应曲线。