Tube-based robust Economic Model Predictive Control on dissipative systems with generalized optimal regimes of operation
Author(s)
Dong, Zihang
Angeli, David
Type
Conference Paper
Abstract
This paper presents a tube-based robust economic MPC controller for discrete-time nonlinear systems that are perturbed by disturbance inputs. The proposed algorithm minimizes a modified economic objective function which considers the worst cost within a tube around the solution of the associated nominal system. Recursive feasibility and an a-priori upper bound to the closed-loop asymptotic average performance are ensured. Thanks to the use of dissipativity of the nominal system with a suitable supply rate, the closed-loop system under the proposed controller is shown to be asymptotically stable, in the sense that it is driven to an optimal robust invariant set. Finally, some illustrative examples, optimally operated at qualitatively different regimes, are addressed and the performances by using our new controller and those in the literature are compared.
Date Issued
2019-01-21
Date Acceptance
2018-12-17
Citation
2018 IEEE Conference on Decision and Control (CDC), 2019, pp.4309-4314
ISBN
9781538613955
ISSN
0743-1546
Publisher
IEEE
Start Page
4309
End Page
4314
Journal / Book Title
2018 IEEE Conference on Decision and Control (CDC)
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
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000458114804002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
57th IEEE Conference on Decision and Control (CDC)
Subjects
Science & Technology
Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Engineering
Publication Status
Published
Start Date
2018-12-17
Finish Date
2018-12-19
Coverage Spatial
Miami Beach, FL, USA
Date Publish Online
2019-01-21