@inproceedings{fc3ec0d46d1445469dbe7757642accb2,
title = "Control of two-magnet system under state and input constraints",
abstract = "This work is concerned with targeted drug delivery inside the human body by using magnetic microrobots and permanent magnets. Due to the constraints of permanent magnet field, the pull and push action on magnetic particle need to be activated in a certain space. In this paper, the stabilization of particle under state and input constraints is studied. The objective is to design an optimized controller under state and input constraint for particle so that it can be stabilized around the desired location. The dynamic model of particle is based on the gravity, magnetic, buoyancy, hydrodynamic and neglects other small forces. The optimized controller is obtained by solving a group of LMIs (Linear matrix inequalities) while minimizing the objective function. LMI system that characterizes the stability and convergences properties of system is built by Lyapunov method and invariant set theorem. The key novelty of this work is that the optimized controller is proven feasible for permanent magnet to stabilize the magnetic particle inside a minimal invariant set.",
keywords = "constraint, optimal control, Permanent magnetic",
author = "\{El Hamdaoui\}, Zakaria and Siyuan Wang and Gang Zheng and Driss Boutat and \{El Barbri\}, Noureddine and Karim Rhofir and Daniel Geha",
note = "Publisher Copyright: {\textcopyright} 2022 Technical Committee on Control Theory, Chinese Association of Automation.; 41st Chinese Control Conference, CCC 2022 ; Conference date: 25-07-2022 Through 27-07-2022",
year = "2022",
doi = "10.23919/CCC55666.2022.9902168",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "1171--1176",
editor = "Zhijun Li and Jian Sun",
booktitle = "Proceedings of the 41st Chinese Control Conference, CCC 2022",
address = "美国",
}