Compartmental modeling and neural network control of stochastic nonnegative systems

被引：0
|
作者：
Hayakawa, Tomohisa [1 ]
机构：
[1] Tokyo Inst Technol, Dept Mech & Environm Informat, Tokyo 1528552, Japan
来源：
2007 AMERICAN CONTROL CONFERENCE, VOLS 1-13 | 2007年
关键词：
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 neuro adaptive control framework for stochastic nonnegative and compartmental dynamical systems is developed. In the face of stochastic variations of system coefficients, we present analysis and adaptive control methodology that guarantees global ultimate boundedness of the second moment of the nonlinear stochastic nonnegative systems.
引用
收藏
页码：4280 / 4285
页数：6
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