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Robust fault detection for uncertain unknown inputs lpv systemi.
| Content Provider | CiteSeerX |
|---|---|
| Author | Koeniga, Damien Martineza, John J. |
| Abstract | This paper focuses on robust fault residual generation for Uncertain Unknown Inputs Linear Parameter Varying (U-LPV) systems. Firstly, the problem is addressed for standard LPV systems based on the adaptation of parity-space approach. The main objective of this approach is to design a scheduled par-ity matrix according to the scheduling parameters. It results a perfectly decoupled parity matrix face to the system states. Then, the major contri-bution of this paper relies in the extension to U-LPV systems. Since most of models which represent practical/real systems are subject to parameters variation, unmodeled dynamics and unknown inputs, the approach is clearly justified. The residual synthesis is rewritten in terms of a new optimization problem and solved using Linear Matrix Inequalities (LMIs) techniques. An applicative illustration is proposed and rests on a vehicle lateral dynamics system. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Robust Fault Detection Uncertain Unknown Input Lpv Systemi Applicative Illustration Scheduling Parameter Parameter Variation Unmodeled Dynamic Unknown Input New Optimization Problem Vehicle Lateral Dynamic System Scheduled Par-ity Matrix Parity-space Approach Major Contri-bution Parity Matrix Face Linear Matrix Inequality Standard Lpv System Main Objective U-lpv System Residual Synthesis Robust Fault Residual Generation Practical Real System |
| Content Type | Text |
| Resource Type | Article |
