Co-Design of Functional Interval Observer-Based Control for Uncertain Linear Parameter Varying Switched Systems

This paper presents a novel method for the co-design of observers and controllers for switched linear parameter-varying (LPV) systems subject to unknown but bounded uncertainties, disturbances, and faults. First, a polytopic functional interval observer (FIO) is employed to estimate the lower and upper bounds of the system states. Next, a proportional-integral (PI) observer is designed to estimate fault signals accurately. Building on these estimates, a fault-tolerant control (FTC) strategy is developed to ensure the stability of the closed-loop system and maintain reference model tracking in the presence of faults. The sufficient conditions for the existence of observers and controllers are derived using Linear Matrix Inequalities (LMIs), leveraging multiple Lyapunov functions and ensuring input-to-state stability (ISS) under the average dwell time (ADT) approach. Finally, the effectiveness of the proposed approach is validated through a simulation applied to vehicle lateral dynamics estimation and control.

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Published
2025-06-30
DOI
https://doi.org/10.1109/icca65672.2025.11129815
Primary Topic
Adaptive Control of Nonlinear Systems
Type
article
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article

Co-Design of Functional Interval Observer-Based Control for Uncertain Linear Parameter Varying Switched Systems

Saïd Mammar, Dalil Ichalal, Duc To Nguyen, Naïma Ait Oufroukh
Adaptive Control of Nonlinear Systems
article

Co-Design of Functional Interval Observer-Based Control for Uncertain Linear Parameter Varying Switched Systems

Saïd Mammar, Dalil Ichalal, Duc To Nguyen, Naïma Ait Oufroukh
article en

Abstract

This paper presents a novel method for the co-design of observers and controllers for switched linear parameter-varying (LPV) systems subject to unknown but bounded uncertainties, disturbances, and faults. First, a polytopic functional interval observer (FIO) is employed to estimate the lower and upper bounds of the system states. Next, a proportional-integral (PI) observer is designed to estimate fault signals accurately. Building on these estimates, a fault-tolerant control (FTC) strategy is developed to ensure the stability of the closed-loop system and maintain reference model tracking in the presence of faults. The sufficient conditions for the existence of observers and controllers are derived using Linear Matrix Inequalities (LMIs), leveraging multiple Lyapunov functions and ensuring input-to-state stability (ISS) under the average dwell time (ADT) approach. Finally, the effectiveness of the proposed approach is validated through a simulation applied to vehicle lateral dynamics estimation and control.

Université Paris-Saclay (FR), Informatique, BioInformatique, Systèmes Complexes (FR)
Openalex Percentile: Top 72%
Adaptive Control of Nonlinear Systems
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