By Topic

Model-based fuzzy control of TORA system: fuzzy regulator and fuzzy observer design via LMIs that represent decay rate, disturbance rejection, robustness, optimality

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

3 Author(s)
Tanaka, K. ; Kanazawa Univ., Japan ; Taniguchi, T. ; Wang, H.O.

This paper presents a model-based fuzzy control of translational oscillations with a proof mass actuator (TORA) which is well known as a nonlinear control benchmark problem. The fuzzy regulator and fuzzy observer are designed by solving linear matrix inequalities (LMIs) that represent control performance such as the decay rate, disturbance rejection, robust stability, minimization of quadratic performance function and constraints on the control input and output. Simulation results show the utility of the model-based fuzzy control utilizing the LMIs

Published in:

Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on  (Volume:1 )

Date of Conference:

4-9 May 1998