Sensor Fault Detection for LPV Systems Using Interval Observers
This paper presents an approach for design a continuous-time interval observer for linear parameter varying (LPV) systems in the presence of disturbances that are considered unknown but bounded. The proposed observer is used for the design of a sensor fault detection scheme using the input to state...
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| Veröffentlicht in: | IEEE access 2024, Vol.12, p.93701-93710 |
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| creator | Yusef Colin-Castillo, Jorge Osorio-Gordillo, Gloria Lilia Puig, Vicenc Amalio Vargas-Mendez, Rodolfo Vicente Guerrero-Ramirez, Gerardo Reyes-Reyes, Juan Manuel Astorga-Zaragoza, Carlos |
| description | This paper presents an approach for design a continuous-time interval observer for linear parameter varying (LPV) systems in the presence of disturbances that are considered unknown but bounded. The proposed observer is used for the design of a sensor fault detection scheme using the input to state stability (ISS) approach through a Lyapunov quadratic function. The conditions of stability and positivity are presented by a set of linear matrix inequalities (LMIs). The performance of the proposed method is shown in simulation using a case study based on a single-link flexible joint robotic system. |
| doi_str_mv | 10.1109/ACCESS.2024.3423722 |
| format | Article |
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| subjects | Design parameters Estimation error Fault detection interval estimation Interval observer Linear matrix inequalities linear parameter varying system Nonlinear systems Observers Quadratic equations sensor fault Sensor systems Stability Symbols Symmetric matrices Trajectory |
| title | Sensor Fault Detection for LPV Systems Using Interval Observers |
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