Optimizing semilinear representations for State-dependent Riccati Equation-based feedback control
File(s)
Published version
Author(s)
Dolgov, S
Kalise, D
Saluzzi, L
Type
Conference Paper
Abstract
An optimized variant of the State Dependent Riccati Equations (SDREs) approach for nonlinear optimal feedback stabilization is presented. The proposed method is based on the construction of equivalent semilinear representations associated to the dynamics and their affine combination. The optimal combination is chosen to minimize the discrepancy between the SDRE control and the optimal feedback law stemming from the solution of the corresponding Hamilton Jacobi Bellman (HJB) equation. Numerical experiments assess effectiveness of the method in terms of stability of the closed-loop with near-to-optimal performance.
Date Issued
2022-11-23
Date Acceptance
2022-06-06
Citation
IFAC PAPERSONLINE, 2022, 55 (30), pp.510-515
ISSN
2405-8963
Publisher
ELSEVIER
Start Page
510
End Page
515
Journal / Book Title
IFAC PAPERSONLINE
Volume
55
Issue
30
Copyright Statement
Copyright © 2022 The Authors. This is an open access article under the CC BY-NC-ND license.
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000889050900086&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
Source
25th International Symposium on Mathematical Theory of Networks and Systems (MTNS)
Subjects
Science & Technology
Technology
Automation & Control Systems
Hamilton Jacobi Bellman equation
nonlinear optimal control
State Dependent Riccati equation
feedback control
Publication Status
Published
Start Date
2022-09-12
Finish Date
2022-09-16
Coverage Spatial
Bayreuth, GERMANY
Date Publish Online
2022-11-23