An intelligent design method to the SISO systems is introduced. This method can give consideration to both the performance of the control system and the simplicity of the controller.
介绍一种用于单变量控制系统的智能设计方法，该方法能兼顾控制系统的性能和控制器的简单性两方面要求。
We applied successfully the proposed adaptive HODFC to the inverted pendulum stabilization and regulation, and the SISO and MIMO chaotic system control synchronization.
利用自适应高阶微分反馈控制器实现倒立摆的鲁棒镇定与调节，实现了SISO和MIMO混沌系统控制与同步。
NC feed servo system was designed by applying SISO designer in MATLAB control system toolbox.
利用MATLAB控制系统工具箱中的SISO设计器设计了数控进给伺服系统。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
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。
Using SISO form makes the control system very simple to implement.
同时本方法以单输入单输出形式，使控制系统的实施非常简单。
This paper presents a hyperstable scheme for designing discrete model reference adaptive control system for lineartime-invariant SISO plant, based on a redefined augmented error signal.
本文经过重新定义增广误差信号，给出了有延时情况下线性时不变离散时间单输入单输出被控对象的模型参考自适应控制系统的超稳定性设计方法。
The sufficient stability conditions of SISO and MIMO networked control system with data dropouts are presented, data dropout rate is determined to ensure stability of NCS.
给出了单输入单输出和多输入多输出网络控制系统中存在数据包丢失情况下均方随机稳定的充分条件和丢包边界的确定方法。
And then a set of SISO linear predictive control algorithms was constructed to be used on the closed-loop system.
然后对此闭环系统设计一组单变量的线性预测控制算法以获得良好的动态特性。
The application of the control algorithm to the SISO system, the unstable process and the MIMO system whose controlled object is square matrix has been affirmed fully.
闭环增益成形算法在SISO系统、非稳定过程和被控对象为方阵的MIMO系统中的应用已被充分肯定。
The application of the control algorithm to the SISO system, the unstable process and the MIMO system whose controlled object is square matrix has been affirmed fully.
闭环增益成形算法在SISO系统、非稳定过程和被控对象为方阵的MIMO系统中的应用已被充分肯定。
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