New stability criteria for a class of systems arising in neural network control and fuzzy systems

被引：0
作者：
Fang, Y
Kincaid, TG
Li, S
机构：
[1] New Jersey Inst Technol, Dept Elect & Comp Engn, Newark, NJ 07102 USA
[2] Boston Univ, Dept Elect & Comp Engn, Boston, MA 02215 USA
[3] Shandong Educ Inst, Shandong, Peoples R China
来源：
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING | 2000年 / 214卷 / I1期
关键词：
stability; neural control; neural networks; fuzzy systems;
D O I：
10.1243/0959651001540474
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, the stability of a class of systems arising from neural control and fuzzy systems is studied. A new unifying stability criterion is presented using a very simple derivation. This result generalizes some previous results; some easily testable conditions are obtained.
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页码：1 / 7
页数：7
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