| 1. | A self - tuning control for the aeroengine is proposed
提出了航空发动机的自校正控制方案。 |
| 2. | Self - tuning control
自校正控制 |
| 3. | Simulation of speed - adjustment system on neural network self - tuning control for brushless dc motor
基于神经网络的无刷直流电机调速系统的仿真 |
| 4. | It provides an effective way to realize self - tuning control in air - conditioning systems
该辨识算法为空调对象的自适应控制提供了重要的手段。 |
| 5. | The advantage spark has is fine - tuned control of the operations at each step along the way , along with the capability of inserting custom code into the process
Spark的优点在于，它对整个过程中每一步操作的控制都进行了微调，还提供了将定制代码插入到过程中的能力。 |
| 6. | The parameters estimation with the least square method is applied to the open speed system . the least square estimation with forgetting factor and the least square error self - tuning control are applied to the close speed system and controller parameters arc obtained from estimation parameters directly
采用最小二乘参数估计算法对某涡扇发动机低压转速进行开环辨识，采用带遗忘因子的最小二乘估和直接获得控制器参数的自校正控制对该系统进行闭环控制。 |
| 7. | Based on compensation control thought , through using neural network pid controller as compensation tache of traditional pid controller , a kind of hybrid pid controller is designed . combined with neural network , self - tuning control can realized better control over non - linear system . utilizing the advantages of fuzzy control and neural network control , a kind of neural network adaptive fuzzy controller based on fast bp algorithm is presented and it may control the plant on line . at last , the hybrid pid controller is applied in tension system of h - section continuous rolling mills and tension - free control is realized . the simulation results show that it has better performance than traditional pid controller . at the same time , it provides some reference for the control of other similar systems
在此基础上，基于补偿控制思想，利用神经pid对传统pid进行补偿，设计了一种混合pid控制器；神经网络与自校正控制的结合，使得自校正方法能对非线性系统实现比较理想的控制效果；利用模糊控制与神经网络控制各自的优点，提出了一种基于快速bp算法的神经网络自适应模糊控制器，能够对系统进行在线控制。最后将混合pid控制应用于h型钢连轧机张力系统中，实现微张力控制，仿真结果说明其较传统pid具有更好的性能，同时也为其它类似系统的控制提供一些参考。 |
| 8. | ( 6 ) this dissertation makes a detailed study of the nn based adaptive control of nonlinear dynamic systems . two types of drnn controllers are designed using the experimental samples , which are named the open - loop controller and the close - loop controller respectively . the experimental mechanism is controlled on - line by means of the nn based direct self - tuning control strategy and the nn based indirect adaptive control strategy
6 .本文对基于神经网络的非线性动态系统自适应控制方法进行了深入研究,利用实验输入输出数据离线设计了动态递归神经网络开环、闭环控制器,并分别采用基于神经网络的直接自校正控制方法与基于神经网络的间接自适应控制方法对弹性连杆机构实施了在线控制。 |
| 9. | The feasibility and requirement of adaptive control applied to the control system are analysized . the model of the hydraulic servo system is created , simplified and dispersed . according to the characteristics and problems that exist in the control system of stretch - bending machine at present , the self - tuning control with pole placement is firstly introduced , which establishes the theoretical foundation for the development and research of the intelligent control system of the stretch - bending machine
分析了拉弯机控制系统采用自适应控制的必要和性可行性；建立了液压伺服控制系统的数学模型，并进行了简化和离散化；根据目前拉弯机控制系统的特点和存在的问题，第一次把极点配置自校正控制算法引入拉弯机控制系统中，为智能化拉弯机控制系统的研究和开发奠定了理论基础。 |
| 10. | 5 . applying the theory of adaptive control to electro - hydraulic position servo system , bring forward a adaptive control method based on regulating gain and damp , a adaptive control method of approach track based on parameter identification , a self - tuning control method of pole placement , a adaptive control method of general predictive
将自适应控制理论应用于电液位置伺服系统，提出了基于增益和阻尼比调节的自适应控制、基于参数辨识的渐近跟踪自适应控制、极点配置的自校正控制和广义预测的自适应控制。 |
