Publications

@conference{Mizouri2023,

title = {Functional Interval Estimation for Uncertain Continuous-time Linear Parameter-Varying Multivariable Systems},

author = {H. Mizouri and R. Lamouchi and M. Amairi},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182948352\&doi=10.1109%2fIW_MSS59200.2023.10369308\&partnerID=40\&md5=22538226eb9d2307c12e8b4aa894a2d4},

doi = {10.1109/IW_MSS59200.2023.10369308},

isbn = {9798350327564},

year  = {2023},

date = {2023-01-01},

journal = {2023 IEEE International Workshop on Mechatronics Systems Supervision, IW_MSS 2023},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {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.},

note = {cited By 0},

keywords = {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},

pubstate = {published},

tppubtype = {conference}

}