By Topic

A multi-agent predictive control approach based on fuzzy supervisory loop for fast dynamic systems

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Hichem, B.N. ; Inst. Super. des Etudes Technol. de Sfax, Sfax ; Faouzi, M.

In this paper, a new approach based on the multi-agent concept is proposed for model predictive control (MAMPC) of a nonlinear fast dynamic system. This concept achieves a transformation of the centralized MBPC in a decentralized and supervised technique. The control of the nonlinear system subject to constraints is achieved via a set of actions taken from different agents. The actions are based on an analytical solution and a fuzzy supervision is used to monitor the closed system using a supervisory loop concept. These strategies of control permits to unlock the obstacle met by the MBPC dedicated to the oscillating and fast dynamic systems and facilitate their real time implantation. The multi-agent compares favorably with respect to a numerical optimization procedure and offers a solution for nonconvex optimization. A simulation example shows the fast execution of the proposed concept compared to conventional procedure.

Published in:

Systems, Signals and Devices, 2008. IEEE SSD 2008. 5th International Multi-Conference on

Date of Conference:

20-22 July 2008