A SET-POINT CONTROLLER-DESIGN FOR NONLINEAR STOCHASTIC-SYSTEMS

被引：0
|
作者：
VANLANDINGHAM, HF
TSOUKKAS, A
CHOI, JY
机构：
来源：
CONTROL AND COMPUTERS | 1995年 / 23卷 / 02期
关键词：
NONLINEAR CONTROL; NEURAL NETWORKS; STATE ESTIMATION; ESTIMATOR-BASED FEEDBACK;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A method of nonlinear system controller design is presented for the class of systems that can be represented by nonlinear memoryless elements embedded in a linear dynamic system. The approach is based on a sampled-data technique for simulating nonlinear systems that involves the use of one additional state variable for each nonlinear element. The controller consists of an estimator, which was developed along the lines of the basic Kalman filter, and a neural net trained from data collected using selected sets of feedback gains that are established for a predetermined number of operating points of the plant.
引用
收藏
页码：63 / 69
页数：7
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