Unknown Input Observer Design for Linear Parameter-Varying Systems in a Bounded Error Context
Jitao Li, Zhenhua Wang, Tarek Raïssi, Yi Shen
Abstract
This article studies unknown input observer design for linear parameter-varying systems in a bounded error context. By presenting a novel unknown input observer structure, the output equation of linear parameter-varying systems is not restricted to be in a linear form. Moreover, by integrating decoupling technique and set-membership approach, a compromise is achieved between the restrictiveness and the conservativeness of estimation. Based on P-radius criteria, sufficient design conditions are derived in terms of linear matrix inequalities. Finally, numerical simulations of a vehicle lateral dynamics system are conducted to demonstrate the validity of the presented method.
Topics & Concepts
Bounded functionControl theory (sociology)Observer (physics)Linear systemMathematicsDecoupling (probability)Context (archaeology)Linear matrix inequalityApplied mathematicsComputer scienceMathematical optimizationMathematical analysisControl engineeringArtificial intelligenceControl (management)EngineeringQuantum mechanicsPaleontologyBiologyPhysicsStability and Control of Uncertain SystemsControl Systems and IdentificationFault Detection and Control Systems