Improved set-membership guaranteed state estimation for uncertain non-linear systems
2017 ◽
Vol 40
(5)
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pp. 1471-1480
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Keyword(s):
This paper presents a new improved set-membership algorithm for guaranteed state estimation for non-linear discrete-time systems with an unknown but bounded description of disturbance and noise. In this paper, the non-linear model is linearized first and the difference of convex (DC) programming method is used to outer-bound the linearization error, which is regarded as a disturbance of the system, and the improved set-membership algorithm guaranteed state estimation for the linearization system. An example is given to illustrate the proposed algorithm.
2016 ◽
Vol 40
(7)
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pp. 2091-2099
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2018 ◽
Vol 63
(12)
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pp. 4317-4322
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Keyword(s):
2014 ◽
Vol 8
(15)
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pp. 1543-1554
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Keyword(s):
2009 ◽
Vol 26
(2)
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pp. 141-150
Keyword(s):
Keyword(s):
1991 ◽
Vol 27
(12)
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pp. 1374-1381
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Keyword(s):