| 1. | Stable robust controller of mrac systems in the presence of bounded disturbances
系统的稳定鲁棒控制 |
| 2. | Modified mrac scheme with switched adaptive law and static compensator
具有切换自适应律和静态补偿器的模型参考自适应控制 |
| 3. | The mrac set up in this paper is applicable to other inverter circuits
本文建立的模型参考自适应控制系统也适用于其他逆变电路。 |
| 4. | The experiment results show mrac can be used to control the inverter efficiently
实验结果表明，用模型参考自适应控制逆变器是有效的。 |
| 5. | This paper proposes a soft - swiching inverter based on mrac and analyzes the design of main circuit drive circuit and control circuit in details
提出了一种基于模型参考自适应控制的软开关逆变器，详细分析了主电路、驱动电路和控制电路的设计。 |
| 6. | In addition , morse proved that tenable system must be a minimum phase system . for linear time varying systems , tskalis and loannou ( 1992 , 1989 ) proposed mrac design method
为了保证可调性，被控对象必须是最小相位的，对于线性时变系统， tskalis与ioannou 992 ， 1989 ）给出了模型参考自适应控制器的设计方法 |
| 7. | In this paper , taking the double inverted pendulum as plant , a model - reference adaptable controller ( mrac ) is analyzed ; a variable structure controller is designed to stabilize the double inverted pendulum
本文以二级倒立摆模型为控制对象，分析了模型参考自适应控制方法的优缺点，并以变结构控制方法实现了二级倒立摆的实时控制。 |
| 8. | The characteristics of a new optimizing algorithm - immune algorithm were discussed . the author presented a model reference adaptive control ( mrac ) based on wave neural networks ( wnn ) optimized by immune algorithm
论文研究了一种新的智能优化算法?免疫算法的特性，并把它用于小波网络的优化设计中，提出了一种基于免疫优化的小波网络模型参考自适应控制策略。 |
| 9. | Finally , the paper studies some advanced strategies . genetic algorithms ( ga ) is used to optimize the pid parameters . neural networks ( nn ) and model reference adaptive control ( mrac ) controllers are put forth to improve the performance of the simulator
并基于转台模型设计了神经网络控制器和模型参考自适应控制系统，通过仿真结果证明了这两种方法的优越性和可实现性。 |
| 10. | Fuzzy control algorithm is made of many control rules that deduced from experts " experiences different from the traditional adaptive control algorithm and the rapidness of the whole system is heavly affected if the amount of the control rules is too much
与传统系统mrac中自适应算法不同， fuzzy自适应算法是由一组控制规则(专家由经验中总结出来的)组成。但是如果模糊条件语句过多的话，严重影响系统响应的快速性。 |
