By Topic

Numerical Optimization-Based Extremum Seeking Control With Application to ABS Design

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
$33 $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)
Chunlei Zhang ; Appl. Mater., Etch Eng. Technol., Sunnyvale, CA ; Ral Ordonez

Extremum seeking control (ESC) schemes based on numerical optimization are proposed in this paper. The extremum seeking problem is treated as an optimization with dynamic system constraints. The numerical optimization-based extremum seeking control scheme is first applied to linear time-invariant (LTI) systems, then it is extended to a class of feedback linearizable systems. The convergence of the ESC scheme is guaranteed by the numerical optimization algorithm and state regulation. The robustness of line search methods and trust region methods is studied, which provides further flexibility for the design of robust extremum seeking controller. Simulation study of antilock braking systems (ABS) design via extremum seeking control is addressed

Published in:

IEEE Transactions on Automatic Control  (Volume:52 ,  Issue: 3 )