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A Simultaneous Adaptation Law for a Class of Nonlinearly Parametrized Switched Systems
Author(s) -
S. Roy,
Simone Baldi
Publication year - 2019
Publication title -
ieee control systems letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.154
H-Index - 21
ISSN - 2475-1456
DOI - 10.1109/lcsys.2019.2904397
Subject(s) - control theory (sociology) , nonlinear system , adaptation (eye) , class (philosophy) , computer science , manipulator (device) , feature (linguistics) , adaptive control , control engineering , control (management) , mathematics , artificial intelligence , engineering , robot , physics , linguistics , philosophy , quantum mechanics , optics
This letter proposes a new adaptive control method for a class of nonlinearly parametrized switched systems that includes Monod kinetics and Euler–Lagrange systems with nonlinear in parameters form as special cases. As compared to the adaptive switched frameworks proposed in literature, the proposed adaptation framework has the distinguishing feature of updating the gains of the active and inactive subsystems simultaneously: by doing this it avoids high gains for the active subsystems or vanishing gains for the inactive ones. The design is studied analytically and its performance is validated in simulation with a robotic manipulator example.

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