Instrumentation and data fusion architecture for systems control

被引：0
|
作者：
Stieber, ME
Petriu, E
Vukovich, G
机构：
来源：
IMTC/97 - IEEE INSTRUMENTATION & MEASUREMENT TECHNOLOGY CONFERENCE: SENSING, PROCESSING, NETWORKING, PROCEEDINGS VOLS 1 AND 2 | 1997年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Sensors selection and data fusion is of key importance for control of complex mechanical systems with vibrating flexible structures. This paper presents a systematic approach, based on the theory of hyperstability, for the design of an instrumentation and data fusion architecture which enables the robust control of complex systems. Earlier results are generalized and previous restrictions on sensors are relaxed to broaden the practical applicability of the proposed method.
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页码：836 / 840
页数：5
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