2020
DOI: 10.1002/acs.3149
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Interval functional observers for time‐delay systems with additive disturbances

Abstract: Summary This article considers the design of interval functional observers to estimate a linear function of the state vector of time‐delay systems subject to both input and output additive disturbances. Two novel functional observers are proposed and designed such that they bound the set of all admissible values of a linear function of the state vector at each instant of time. By contrast to interval observers currently available in the literature, both observers proposed in this article utilize multiple delay… Show more

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Cited by 10 publications
(2 citation statements)
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References 23 publications
(54 reference statements)
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“…For example, large interconnected power systems, 1 interconnected vehicular system, 2 energy management in DC‐grids, 3 linear transportation networks, 4 DC microgrids, 5 switched interconnected non‐affine nonlinear systems under arbitrary switching, 6 DC bus networks, 7 ecological systems, biological systems and energy systems, 8 industrial processes, 9 electrical circuits 10 . On the other hand, the information on state vectors of dynamical systems plays an important role in many applications such as state‐feedback control, system supervision, fault diagnosis of dynamic processes, and so on (see, for example, References 11–18). However, very often, the information on state vectors is often unavailable due to many reasons such as technical, and economic.…”
Section: Introductionmentioning
confidence: 99%
“…For example, large interconnected power systems, 1 interconnected vehicular system, 2 energy management in DC‐grids, 3 linear transportation networks, 4 DC microgrids, 5 switched interconnected non‐affine nonlinear systems under arbitrary switching, 6 DC bus networks, 7 ecological systems, biological systems and energy systems, 8 industrial processes, 9 electrical circuits 10 . On the other hand, the information on state vectors of dynamical systems plays an important role in many applications such as state‐feedback control, system supervision, fault diagnosis of dynamic processes, and so on (see, for example, References 11–18). However, very often, the information on state vectors is often unavailable due to many reasons such as technical, and economic.…”
Section: Introductionmentioning
confidence: 99%
“…Meanwhile, derived conditions in existing work on interval observer and observer-based controller design have strong coupling structure. Although several interval observer design methods for control systems have reported in the current literature (see survey papers (Cacace et al, 2015; He and Xie, 2020; Huong et al, 2020; Kharkovskaya et al, 2018; Zhu et al, 2023) and the references cited therein), there is still insufficient study on interval observer design based on monotone system theory. Especially, how to design an interval observer gain via separation principle such that design condition for the cooperativity and stability of error dynamics system is still an open research.…”
Section: Introductionmentioning
confidence: 99%