| 1. | Single input single output control system ; siso control system
单输入单输出控制系统 |
| 2. | Fuzzy adaptive output feedback control of siso nonlinear systems based on observer
基于观测器的单输入单输出非线性系统的模糊自适应输出反馈控制 |
| 3. | 2 . multi - input multi - output system was dynamic spread , and singular - input singular - output system was obtained
对多输入多输出系统进行动态扩展，得到单输入单输出系统。 |
| 4. | The paper considers the problem of dynamic output feedback stabilization of the single input single output uncertain system x = ax + 1 ( x ) + b ( u + 2 ( x ) ) , y = cx
摘要研究一类单输入单输出非线性不确定系统的动态输出反馈镇定。 |
| 5. | ( 2 ) an adaptive hx control approach is proposed for a class of unknown siso affine nonlinear system based on neural network
2 )针对一类未知的单输入单输出仿射非线性系统，提出了一种基于神经网络的h _自适应控制方法。 |
| 6. | By using popov ' s hyperstatic theory , an adaptive fuzzy controller is proposed to control a class of singular - input singular - output nonlinear system
对于一类常见的单输入单输出的非线性系统，利用超稳定性理论来设计自适应模糊控制控制器。 |
| 7. | For the actuator and control surface , a dynamic model of single degree of freedom is constructed so that the design of control law can be greatly simplified
针对该作动器和控制面建立一个单输入单输出的二阶动力学模型,进而可大大简化控制律设计。 |
| 8. | With estimating the numerator of the new simo model transfer function first and the common denominator later , the parameter estimation of the original siso model is obtained
再估计出这个新的单输入多输出系统的传递函数，最后得到原单输入单输出系统的模型参数。 |
| 9. | An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of siso nonlinear system
摘要针对单输入单输出非线性系统的自适应控制问题，提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法。 |
| 10. | The main results contain : ( 1 ) an adaptive sliding mode control approach is proposed for a class of unknown siso affine nonlinear system based on neural network
主要结果有： 1 )针对一类未知的单输入单输出仿射非线性系统，提出了一种基于神经网络的滑模自适应控制方法。 |
