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State estimation and decoupling of unknown inputs in uncertain LPV systems using interval observers

Damiano Rotondo, Andrea Cristofaro, Tor Arne Johansen, Fatiha Nejjari, Vicenç Puig

Year
2017
Citations
45

Abstract

This paper proposes a linear parameter varying (LPV) interval observer for state estimation and unknown inputs decoupling in uncertain continuous-time LPV systems. Two different problems are considered and solved: (1) the evaluation of the set of admissible values for the state at each instant of time; and (2) the unknown input observation, i.e. the design of the observer in such a way that some information about the nature of the unknown inputs affecting the system can be obtained. In both cases, analysis and design conditions, which rely on solving linear matrix inequalities (LMIs), are provided. The effectiveness and appeal of the proposed method is demonstrated using an illustrative application to a two-joint planar robotic manipulator.

Keywords

Control theory (sociology)Decoupling (probability)Observer (physics)Interval (graph theory)MathematicsState (computer science)Computer scienceMathematical optimizationControl engineeringControl (management)

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