Nonlinear System Identification and Control: ROP SCHEME and NEURAL NETWORKS

被引：0
|
作者：
Reddy, Raja Gopal B. [1 ]
机构：
[1] Vardhaman Coll Engn, Hyderabad, Telangana, India
来源：
PROCEEDINGS OF THE 2018 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND CONTROL SYSTEMS (ICICCS) | 2018年
关键词：
Active Identification; Discrete-time system; Output feed back system; Neural Networks; Dahlin controller;
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：
In this paper an attempt is made to control nonlinear system where parameter are unknown. A straight forward scheme called ROP (Recursive Orthogonal Projection) Scheme has been used for parameter identification and system control of nonlinear output feedback system [4]. Two phase strategy is used (i) Parameter Identification phase (ii) system Control Phase. The control algorithm is implemented after parameter information is found. In later part of this paper, a Neural Network model of the unknown nonlinear system from input-output data has been developed and compared results with the ROP scheme. The relative merits and demerits of ROP and NN are discussed.
引用
收藏
页码：1831 / 1836
页数：6
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