2023 |
Mizouri, H.; Lamouchi, R.; Amairi, M. Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). Résumé | Liens | BibTeX | Étiquettes: Continous time; Functional interval; Functional interval observer; Interval estimation; Interval observers; Linear parameter varying; Linear parameter varying systems; L∞ performance; Multi-variables system; ∞performance, Continuous time systems; Linear systems; Parameter estimation; Uncertainty analysis, Multivariable systems @conference{Mizouri2023, This paper presents the design of a functional interval observer (FIO) adapted to continuous-time uncertain Linear Parameter-Varying (LPV) multivariable systems. This system is subject to parameter uncertainties, external disturbances and measurement noise. Under the assumption that these uncertainties are unknown but bounded within known intervals, an FIO is recommended to estimate the boundaries of the functional state. An L∞ performance criterion is employed to improve stability and estimation accuracy. Ultimately, a numerical example is utilized to validate the effectiveness of the suggested approach. © 2023 IEEE. |
2022 |
Akremi, R.; Lamouchi, R.; Amairi, M. Functional Interval Observers Design for Multivariable Linear Discrete-time Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 2). Résumé | Liens | BibTeX | Étiquettes: Digital control systems; Discrete time control systems; Numerical methods, Discrete – time systems; Discrete time; Functional interval; Functional interval observer; Interval observers; Linear discrete-time systems; Multi variables; Multi-variables system; Observers designs; Unknown but bounded, Multivariable systems @conference{Akremi2022976, This paper deals with functional interval observers design for discrete-time multivariable systems. Under the as-sumption that disturbances are unknown but bounded, functional interval observers are designed to estimate the system and the functional state. The design conditions of the existence of the proposed interval observer are explicitly mentioned and an effective algorithm for computing the matrices of unknown observers is provided. Finally, numerical example and simulation results are given to illustrate the effectiveness of the proposed method. © 2022 IEEE. |
Publications
2023 |
Institute of Electrical and Electronics Engineers Inc., 2023, ISBN: 9798350327564, (cited By 0). |
2022 |
Functional Interval Observers Design for Multivariable Linear Discrete-time Systems Conférence Institute of Electrical and Electronics Engineers Inc., 2022, ISBN: 9781665471084, (cited By 2). |