摘要
提出了一种基于扩展线性化神经状态空间(ELNSS)模型的非线性系统一步超前预测控制算法,并证明了该方法的稳定性和收敛性.使用该方法分别对SISO非线性系统和MIMO非线性系统进行了仿真验证,仿真结果表明本文方法具有良好的鲁棒性和准确性.
A nonlinear system one-step-ahead predictive control algorithm based on an extended linearized neural state space model is proposed. The stability and convergence of closed loop system is proved. By applying the algorithm to SISO and MIMO system,the simulations results show that the algorithm has good robustness and accuracy.
作者
岳鹏飞
梁楠
庄春生
张伟
YUE Pengfei;LIANG Nan;ZHUANG Chunsheng;ZHANG Wei(Institute of Applied Physics,Henan Academy of Sciences,Zhengzhou 450008,China)
出处
《河南科学》
2018年第6期830-836,共7页
Henan Science
基金
河南科技攻关项目(182102210357)
