The electricity control system adopts programmable logic controller as control core and the concentration handles various input or output signal and promise the stable movement of the whole system. 电气控制系统采用可编程序控制器作为控制核心,集中处理各种输入输出信号,保证整个系统的稳定运行。
Aiming at the filter problem that the input and output signal are both corrupted by noise, a stable total least mean square ( LMS ) adaptive algorithm was proposed. 针对输入输出观测数据均含有噪声的滤波问题,提出了一种稳定的总体最小二乘自适应算法。
Simulation studies are undertaken to support the analysis. ( 2 ) The problem of blind source separation and equalization for multiple input and multiple output ( MIMO ) systems in α - stable impulsive noise is studied. 分析了α稳定分布噪声环境下多输入多输出系统的盲均衡问题。
The zero dynamics of the system are verified to be stable for input output linearization method. However, computer simulations show that the stable region of zero dynamics is small, so the input output linearization controller can only operate in the neighborhood of operating point. 对于输入-输出线性化方法可以验证系统在平衡点邻域零动态稳定,然而计算机仿真表明利用输入-输出反馈线性化设计的控制器由于零动态的稳定范围较小,系统只能工作在工作点的邻域。
It consists of two parts. In the first part, the weights of neural network controller are obtained by means of the genetic algorithm; in the second part, after trained by the input and output data, the neural network adaptive controller gains the stable results. 该控制器主要由2部分组成,第一部分利用遗传算法搜索出一组神经网络控制器的初始权值,第二部分用历史输入输出数据训练神经网络自适应控制器,经过训练后其达到稳定的控制效果。