Intelligent adaptive control of non-linear systems based on emotional learning approach

被引：4
|
作者：
Mehrabian, Ali Reza [1 ]
Lucas, Caro
机构：
[1] Univ Tehran, Sch Mech Engn, Adv Dynam & Control Syst Lab, Tehran, Iran
[2] Univ Tehran, Sch Elect & Comp Engn, Control & Intelligent Proc Ctr Excellence, Tehran, Iran
[3] Univ Tehran, Sch Elect & Comp Engn, Wildlife Conservat Int, Control & Intelligent Proc Ctr Excellence, Tehran 14875347, Iran
[4] IPM, Sch Cognit Sci, Tehran, Iran
来源：
INTERNATIONAL JOURNAL ON ARTIFICIAL INTELLIGENCE TOOLS | 2007年 / 16卷 / 01期
关键词：
intelligent systems; emotional decision making; non-linear control; neutral networks; direct adaptive control;
D O I：
10.1142/S0218213007003205
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Drawing upon the past research on neuromorphic implementation of an emotionally intelligent control system, a developed version of the brain emotional learning based intelligent controller, BELBIC, is proposed in this paper. The modified system, which essentially realizes direct adaptive control scheme, deals very well for SISO plants, and does not need any pre training. It is adaptive and robust with respect to changes in the environment since it leams to produce appropriate control actions on line. An additional advantage of BELBIC is its simplicity as well as low computational load. The performance of the system is demonstrated via application on previously studied benchmarks involving optimization and adaptive control in nonlinear systems with MLP-backpropagation (BP) nets.
引用
收藏
页码：69 / 85
页数：17
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