| 1. | Study of artificial intelligent fuzzy decoupled hybrid controller
仿人智能模糊解耦混合控制器的研究 |
| 2. | Audio mixer control console
音频混合控制器 |
| 3. | A hybrid controller with neural - variable structure for trajectory tracking of robot manipulators with uncertainties is proposed
摘要针对不确定性机器人的轨迹跟踪控制问题，提出了一种神经网络前馈补偿加变结构的混合控制器。 |
| 4. | The multi - channel multi - objective mixed h2 / h controller is devised to balance the vehicle handling stability and the ride comfort performance
设计多通道多目标优化h _ 2 h _混合控制器，达到操纵稳定性能和行驶平顺性能的平衡。 |
| 5. | The thesis discusses intelligent control over robot manipulators and formulates a hybrid controller as well , which combines fuzzy - neural network with cmac controller and slide mode controller
最后论文着重讨论了机器人控制的智能方法，并提出了一种新型的混合控制器。 |
| 6. | Considering the big scope and nonlinear characteristic of tyre wheel model parameters , combination controller of fuzzy and integral is here applied , and its fuzzy control rule table and fuzzy control lookup table are listed
针对机轮模型参数变化范围较大，并且具有非线性的特点，研究了模糊积分混合控制器，给出了模糊控制规则表和模糊控制查询表，并进行了模糊积分混合控制的仿真。 |
| 7. | The controllers are not only capable of restrain seismic excitation and also stabilize the control system . made mrd imitate the desirable active control force efficiently , the semi - connected and clipped - optimal control algorithm was put forward . studied the uncertainties about mrd , a robust stability h _ 2 / h _ controller was performed to achieve the performance of disturbance rejection and robust
为了使mrd能更好地模仿期望的主动控制力，提出半连续限幅最优控制策略，并讨论mrd跟踪主动控制力时存在的不确定性，设计了具有鲁棒性能的h _ 2 / h _混合控制器。 |
| 8. | To apply neural networks to the simulation of ship maneuvering motion , an nnrm ( neural network recursive model ) is designed and used to simulate a serial full - scale tests conducted in yangtze river and the comparison between simulated results and the measured ones is satisfactory . ship trajectory tracking is a well - known maneuvering problem with an increasing practical and theoretical interest . but the real - world tracking applications encounter a number of difficulties caused by the presence of different kinds of uncertainty due to the unknown or not precisely known system model and environmental effects
本文利用智能控制技术的优越性，尝试将智能化控制技术用于船舶操纵运动模拟，初步探索了将现代控制理论和智能技术融入船舶操纵预报、模拟的研究方法，提出了用于船舶操纵运动模拟的线性神经网络( lnn ) 、神经网络递推模型( nnrm )和nnrm 、交错航迹距离( cte )和视距( los )混合控制器模型三种控制模型：并将控制模型的理论研究应用到实船试验数据分析、计算，将模拟结果与实际的试验结果作了比较。 |
| 9. | Furthermore , the controllers were improved to obtain better performance considering actuator saturation and the coefficient of control force . and then , according to the superiority of lmi about dealing with multi - objects , the robust performance of h _ control and the restrainability of h _ 2 control , a mixed h _ 2 / h _ controller was designed for reducing the absolute acceleration of structure or the special floors
同时，利用h _控制的鲁棒性能和h _ 2控制的抑制性能，基于lmi多目标控制理论，设计出h _ 2 / h _混合控制器，改善整体结构或特定楼层的绝对加速度，为mrd的不确定系统设计鲁棒的h _ 2 / h _混合控制器提供理论依据。 |
