2019
DOI: 10.1002/rnc.4531
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Observers and observability for uncertain nonlinear systems: A necessary and sufficient condition

Abstract: Summary In this paper, observers and observability for uncertain nonlinear systems are systematically discussed. It is shown that for the convergence of a large class of observers, featured with the augment state to estimate the uncertainty, it requires not only the observability condition for the augment matrix pair but, more importantly, requires a structural condition first proposed in this paper. Furthermore, it is demonstrated that the combination of this structural condition and the observability of the … Show more

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Cited by 13 publications
(4 citation statements)
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“…In this example, we consider the following uncertain nonlinear system which satisfies CICF. The system (58) can be transformed to (1) with…”
Section: Numerical Examplesmentioning
confidence: 99%
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“…In this example, we consider the following uncertain nonlinear system which satisfies CICF. The system (58) can be transformed to (1) with…”
Section: Numerical Examplesmentioning
confidence: 99%
“…In recent years, due to the emphasis on model uncertainty, which includes internal unmodeled dynamics and external unknown input, synthesis and analysis observers capable of both state estimation and disturbance reconstruction have emerged as new research disciplines. [1][2][3] Unknown input observer (UIO), sliding mode observer (SMO), disturbance observer (DO), and extended state observer (ESO) are among the many emergent observer design methods for uncertain nonlinear systems, and many variants have been proposed to deal with different application scenarios. [4][5][6][7] UIO could provide inherent attenuation against unwanted external signal influence via a particular coordination transform.…”
Section: Introductionmentioning
confidence: 99%
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“…Since the mismatched disturbance cannot be removed completely from the system state, the state x in (33) should be represented by the other variables in (33). Taking the first four derivatives of the output equation yields…”
Section: Ladrc With Known Model Information and Two Measurementsmentioning
confidence: 99%