摘要
基于灰色理论、自适应切换方法以及MIMO网络控制系统的研究,提出了一种网络环境下自适应灰色预测控制策略,并对整个建模过程进行了详细推导。该方法利用新陈代谢原理建立等维新息GM(1,1)模型,其在线辨识参数较少,避免了Diophantine方程和逆矩阵的在线求解,从而减少了计算量,提高了网络控制系统的实时性。倒立摆网络控制系统的仿真实验表明了所提方法的有效性。
This paper proposed a new adaptive grey prediction control strategy based on the research of grey theory,a- daptive switching method and MIMO networked control systems. The whole modeling procedure of this method was es- tablished. The equal dimension GM （1,1） model was established by using metabolic principle. This method only identi- fies two parameters, and avoids online solving the Diophantine equation and inverse matrix. So the computation load of the algorithm can be reduced greatly, and real time property is advanced. The efficacy of the proposed method is shown by presenting simulation results from inverted pendulums networked control systems＇ example.
出处
《计算机科学》
CSCD
北大核心
2010年第2期253-255,共3页
Computer Science
基金
国家自然科学基金(60774059)资助
关键词
网络控制系统
自适应灰色预测
灰色模型
倒立摆
Networked control systems （NCSs）,Adaptive grey prediction,Grey model,Inverted pendulum system
