By Topic

Robust output tracking for MIMO nonlinear systems: an adaptive fuzzy systems approach

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 $31
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)
Trebi-Ollennu, A. ; Cranfield Univ., Swindon, UK ; White, B.A.

An adaptive fuzzy systems approach to state feedback input-output (I/O) linearising controller is outlined. The analysis is based on a general nonlinear multi-input multi-output (MIMO) systems, with minimum phase zero dynamics and uncertainties satisfying the matching condition. The adaptive fuzzy system is incorporated into the control system as an outer feedback loop to increase the robustness of the I/O linearising controller. The adaptive fuzzy system is also intended to add learning and provide a channel to incorporate human expert knowledge in the form of fuzzy rule “intelligence” with conventional I/O linearising controllers. Finally, a spacecraft attitude control problem is used to compare the technique with a conventional I/O linearising controller

Published in:

Control Theory and Applications, IEE Proceedings -  (Volume:144 ,  Issue: 6 )