Robust and adaptive control using measurements of higher order derivatives

Zilong Shao 1 Gang Zheng 1, 2 Denis Efimov 2, 1 Wilfrid Perruquetti 3, 2, 4
2 NON-A - Non-Asymptotic estimation for online systems
Inria Lille - Nord Europe, CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
3 SyNeR - Systèmes Non Linéaires et à Retards
CRIStAL - Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189
Abstract : he problem of output control for linear uncertain system with external perturbations is studied. It is assumed that the output available for measurements is the higher order derivative of the state only (acceleration for a second order plant), which is also corrupted by noise. Then via series of integration an identification algorithm is proposed for identification of values of all parameters and unknown initial conditions for the state vector. Finally, two control algorithms are developed, adaptive and robust, providing boundedness of trajectories for the system. Efficiency of the obtained solutions is demonstrated by numerical experiments.
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Conference papers
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https://hal.inria.fr/hal-01410855
Contributor : Gang Zheng <>
Submitted on : Tuesday, December 6, 2016 - 5:59:02 PM
Last modification on : Friday, March 22, 2019 - 1:35:22 AM

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Zilong Shao, Gang Zheng, Denis Efimov, Wilfrid Perruquetti. Robust and adaptive control using measurements of higher order derivatives. ECC 2016, IFAC, Jun 2016, Aalborg, Denmark. ⟨hal-01410855⟩

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