| 1. | 2 . an introduction of the basic principles of the neuron model - free control and the basic design methods of the fuzzy controller is given
介绍了神经元非模型控制的结构和基本原理及模糊控制器的设计的两种基本方法。 |
| 2. | The design theory of neural networks is discussed , including the basis principles of neuron control and the design of back - propagation network . 4
探讨了面向控制的神经元网络设计理论，包括单神经元控制的结构和基本理论及bp神经网络设计； 4 |
| 3. | It backups more of user , more stronger data engine , more cheaper maintenance cost especially for internet / intranet mechanism which make network management for material current and e - commerce be possible
其主要特点是具有多层控制的结构，能支持更多的用户，有更强大的数字引擎，特别对于internet机制有着更为廉价的系统维护成本。 |
| 4. | Therefore , combining single - variable dmc with cascade control can form dmc - pid cascade control , which can retain structure characteristic of cascade control as well as performance virtue of predictive control
因此，把单变量dmc和串级控制相结合，形成dmc - pid串级控制，既能保持串级控制的结构特点，又能保持预测控制的性能优点。 |
| 5. | In this essay the technique of the structure calculation and error adjustment measures used in bridge construction prefigurative deviation control was researched based on the construction control and monitor project of wuhan caidian han river bridge
本文主要结合蔡甸汉江公路大桥的施工监测监控项目，研究施工预拱度控制的结构计算和误差调整方法。 |
| 6. | In this thesis , in order to improve the performances of fuzzy controller , a hybrid structure of fuzzy pid controller is proposed and a systemic parameter optimal method based on the pso ( particle swarm optimization ) is introduced
本文对如何提高模糊控制的性能以及系统化的参数设计问题进行研究，提出了一种模糊pid控制的结构，并且首次将微粒群优化算法( pso )应用于模糊控制器的参数优化设计。 |
| 7. | Then on the basis of calculating result from the prefigurative deviation control structure calculation , " rational data forecast processing about error adjust in prefigurative deviation control was made by the prefigurative theory of bp neural network and corresponding program and software matlab6 . 1 . at last via the data comparison with the practical survey data draw a conclusion : it is feasible for the construction prefigurative deviation control and error adjust used in pc rigid frame bridges to use the calculation model and program brought forward in this paper
同时，在对预应力混凝土刚构桥施工过程线形预拱度控制的结构计算分析的基础上，利用bp神经网络的预测理论和相应的程序及软件包matlab6 . 1对预拱度控制中的误差调整进行了较好的预测处理，通过与实际施工数据及成桥后测量结果作分析比较，得到结论：运用本论文的计算模型和程序对预应力混凝土刚构桥预拱度控制过程进武汉理工大学硕士学位论文行结构分析和误差调整处理是可行。 |
| 8. | We discuss structure of the end - to - end congestion control schemes with active queue management ( aqm ) in ip network from the control theoretic point of view . and propose a fuzzy logic based aqm which can improve the robustness of the control algorithms . give out the detailed simulations
本文从拥塞控制的角度出发，强调路由器队列管理在系统控制中的地位，并从闭环控制的角度出发，描述拥塞控制的结构，研究主动队列的控制系统模型，设计了一种用于主动队列管理( aqm )的模糊控制器，仿真证明了这种aqm算法的有效性。 |
| 9. | In the control scheme using neural network , the control of flexible manipulator is separated into angle - following control of slow subsystem and vibration - suppressing control of fast subsystem based on singular perturbation and time decomposition . moreover , the paper discusses the structure and the algorithm of neural network plus fuzzy pd control of tip vibration . finally the performance of designed methods is validated by simulation
对于神经网络控制，首先根据奇异摄动和两时标分解，将柔性连杆机械臂的控制分解成等效刚性臂慢子系统的角跟随运动控制和快子系统的消振控制，论文给出了神经网络+末端振动模糊pd控制的结构和计算法，并通过实验研究验证了提出设计方法的性能。 |
| 10. | This dissertation has studied the structural model and model predictive control ( mpc ) algorithm that was first implemented for the structural vibration control of the tall building under earthquake excitation . based on analyzing structural motion equation and the state space form equation of the earthquake - excited structural model of the tall building , predictive model and control objective functions are defined and the mpc system of the tall building is set up
本文主要研究高层建筑结构振动控制的结构模型和预测控制算法，首次将预测控制应用到高层建筑结构地震反应控制中，在分析受地震波激励的高层建筑结构模型的运动方程及其状态空间形式方程的基础上，确定预测模型和控制目标函数，建立高层建筑结构预测控制系统，从理论上对预测控制在高层建筑结构振动控制中的应用进行研究。 |
