Open AccessObserver‐based event‐triggered control co‐design for linear systems
Author(s) -
Tarbouriech Sophie,
Seuret Alexandre,
Manoel Gomes da Silva João,
Sbarbaro Daniel
Publication year - 2016
Publication title -
iet control theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.059
H-Index - 108
eISSN - 1751-8652
pISSN - 1751-8644
DOI - 10.1049/iet-cta.2016.0167
Subject(s) - control theory (sociology) , emulation , observer (physics) , convex optimization , linear matrix inequality , linear system , controller (irrigation) , computer science , stability (learning theory) , convergence (economics) , regular polygon , event (particle physics) , exponential stability , constant (computer programming) , mathematics , control (management) , mathematical optimization , nonlinear system , artificial intelligence , mathematical analysis , physics , quantum mechanics , geometry , machine learning , agronomy , economics , biology , programming language , economic growth
The study deals with an observer‐based event‐triggered control strategy for linear systems using only local (i.e. available) variables. Sufficient conditions based on linear matrix inequalities associated to convex optimisation problems are proposed to ensure the asymptotic stability of the closed loop and the output convergence to a constant reference in both emulation and co‐design contexts. Indeed, the proposed approach allows either to design the event‐triggering rules or co‐design the event‐triggering rule along with the controller gain.