文章基本信息

标题：Reduced-order Interval-observer Design for Dynamic Systems with Time-invariant Uncertainty
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作者：Masoud Pourasghar ; Vicenç Puig ; Carlos Ocampo-Martinez 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：6271-6276
DOI：10.1016/j.ifacol.2017.08.858
语种：English
出版社：Elsevier
摘要：AbstractThis paper addresses the design of reduced-order interval-observers for dynamic systems with time-invariant uncertainty. Because of the limitations of using the set-based approach to preserve the time dependency of parameter uncertainty and the wrapping effect to deal with interval-observers, the trajectory-based interval-observer approach is used with an appropriate observer gain. But, there could be some difficulties to satisfy the conditions for selecting a suitable gain to guarantee the positivity of the resulting observer. Then, a reduced-order observer is designed to reduce the computational complexity and to increase the degree of freedom when selecting the observer gain. Finally, a simulation example is employed for illustrating and analyzing the effectiveness of the proposed approach.
关键词：KeywordsUncertain dynamic systeminterval observerset-based observerreduced-order observer