Proceedings of the 41st IEEE Conference on Decision and Control, 2002.
DOI: 10.1109/cdc.2002.1185120
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An adaptive observer design methodology for bounded nonlinear processes

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Cited by 33 publications
(19 citation statements)
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“…However, for interval coefficients there is a significant difference between the formulas. Equation (8) provides better bounds for the values compared to those which would have been obtained in the point-by-point procedure, because C i02;j+1 1 C i01;1 C i01;1 Ci02;j+1: (9) Second, and more significantly, in calculating C i;j by (8) use fixed values of C i02;1 and C i01;1 instead of their intervals. The fixed values may be the midpoints of the intervals or, if desired, the values which yield the largest intervals for Ci;j .…”
Section: Modification Of the Methods Of Direct Truncation Of Routmentioning
confidence: 97%
“…However, for interval coefficients there is a significant difference between the formulas. Equation (8) provides better bounds for the values compared to those which would have been obtained in the point-by-point procedure, because C i02;j+1 1 C i01;1 C i01;1 Ci02;j+1: (9) Second, and more significantly, in calculating C i;j by (8) use fixed values of C i02;1 and C i01;1 instead of their intervals. The fixed values may be the midpoints of the intervals or, if desired, the values which yield the largest intervals for Ci;j .…”
Section: Modification Of the Methods Of Direct Truncation Of Routmentioning
confidence: 97%
“…where is a bounded disturbance [26], i.e., for a positive constant , due to the bounded characteristic of the sigmoidal function.…”
Section: B Stability Analysismentioning
confidence: 99%
“…It has been shown that the state estimation error converges to zero only if the disturbances vanish. In [15], the disturbances are assumed to be generated by an exponentially stable system, such that observability of the combined system is not violated.…”
Section: Introductionmentioning
confidence: 99%