NDLI: Anti-windup for time-varying delayed cellular neural networks subject to input saturation

Content Provider	IEEE Xplore Digital Library
Author	Mei Jiang Hanlin He Ping Xiong
Copyright Year	2014
Abstract	This paper deals with the problem of anti-windup design for a class of state saturation systems subject to time-varying delayed cellular neural networks and input saturation. By introducing the saturation degree function and applying the convex hull theory to handle the saturated terms, we firstly put forward a stabilization controller for the time-varying delayed system in the absence of input saturation via LMI formulation according to Lyapunov-Krasovskii theorem. Then the anti-windup gain matrix is derived to compensate for the difference between the constrained and unconstrained systems in the presence of input saturation. Further, the enlargement to the basin of attraction under input saturation is formulated, and the corresponding optimization problem with LMI constraints is given. Finally, numerical examples are included to illustrate the effectiveness of the proposed design technique.
Starting Page	485
Ending Page	491
File Size	556402
Page Count	7
File Format	PDF
ISBN	9781479936496
e-ISBN	9781479936502
DOI	10.1109/ICICIP.2014.7010306
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Actuators Asymptotic stability Windup Delay effects Educational institutions Closed loop systems Cellular neural networks
Content Type	Text
Resource Type	Article

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