Removing SPR-Like Conditions in Adaptive Feedforward Control of Uncertain Systems
File(s)
Author(s)
Wang, Yang
Pin, Gilberto
Serrani, Andrea
Parisini, Thomas
Type
Journal Article
Abstract
The paper considers the problem of designing Adaptive Feedforward Control (AFC) systems for uncertain SISO linear systems perturbed by multi-sinusoidal disturbances of known frequencies. The proposed approach removes the longstanding assumption that either the sign of the real part or the imaginary part of the transfer function of a stable plant at the frequency of excitation be known for AFC to be applicable, which is referred to in this paper as an SPR-like condition. Notable features of the solution are that persistence of excitation is not required and stability analysis tools based on averaging are avoided; hence, the requirement of an exponentially stable equilibrium for the closed-loop system is circumvented.
Date Issued
2020-06-01
Date Acceptance
2019-07-15
Citation
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2020, 65 (6), pp.2309-2324
ISSN
0018-9286
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Start Page
2309
End Page
2324
Journal / Book Title
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
Volume
65
Issue
6
Copyright Statement
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000542947800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Closed loop systems
Heuristic algorithms
Adaptive systems
Feedforward systems
Stability analysis
Adaptation models
Uncertainty
Adaptive control
Lyapunov methods
nonlinear control systems
STEADY-STATE CONTROL
CANCELLATION
DESIGN
DISTURBANCES
ALGORITHMS
INPUT
Publication Status
Published
Date Publish Online
2019-08-09