Conference item

Towards targeted exploration for non-stochastic disturbances

Abstract:: We present a novel targeted exploration strategy for linear time-invariant systems without stochastic assumptions on the noise, i.e., without requiring independence or zero mean, allowing for deterministic model misspecifications. This work utilizes classical data-dependent uncertainty bounds on the least-squares parameter estimates in the presence of energy-bounded noise. We provide a sufficient condition on the exploration data that ensures a desired error bound on the estimated parameter. Using common approximations, we derive a semidefinite program to compute the optimal sinusoidal input excitation. Finally, we highlight the differences and commonalities between the developed non-stochastic targeted exploration strategy and conventional exploration strategies based on classical identification bounds through a numerical example.

Publication status:: Published

Peer review status:: Peer reviewed

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APA Style

Venkatasubramanian, J., Koehler, J., Cannon, M., & Allgoewer, F. (2024). Towards targeted exploration for non-stochastic disturbances. 58(15), 556–561.

MLA Style

Venkatasubramanian, J., et al. Towards Targeted Exploration for Non-Stochastic Disturbances. no. 15, Elsevier, 2024, pp. 556–61.

Chicago Style

Venkatasubramanian, J, J Koehler, M Cannon, and F Allgoewer. 2024. “Towards Targeted Exploration for Non-Stochastic Disturbances.” In , 58:556–61. Elsevier.
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Files:: Venkatasubramanian_et_al_2024_Towards_targeted_exploration.pdf

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Publisher copy:: 10.1016/j.ifacol.2024.08.588

Authors

+ Venkatasubramanian, J More by this author

Role:: Author

+ Koehler, J More by this author

Role:: Author

+ Cannon, M More by this author

Institution:: University of Oxford
Division:: MPLS
Department:: Engineering Science
Role:: Author
ORCID:: 0000-0003-2189-7876

+ Allgoewer, F More by this author

Role:: Author

Publisher:: Elsevier
Journal:: IFAC-PapersOnLine More from this journal
Volume:: 58
Issue:: 15
Pages:: 556-561
Publication date:: 2024-09-19
Acceptance date:: 2024-05-15
Event title:: 19th IFAC Symposium on System Identification (SYSID 2024)
Event location:: Boston, MA, USA
Event website:: https://conferences.ifac-control.org/sysid2024/
Event start date:: 2024-07-17
Event end date:: 2024-07-18
DOI:: 10.1016/j.ifacol.2024.08.588
EISSN:: 2405-8963
ISSN:: 2405-8971

Language:: English
Keywords:: identification for control

uncertainty quantification

experiment design
Pubs id:: 1996508
Local pid:: pubs:1996508
Deposit date:: 2024-05-15

Terms of use

Copyright holder:: Venkatasubramanian et al
Copyright date:: 2024
Rights statement:: Copyright © 2024 The Authors. This is an open access article under the CC BY-NC-ND license (https://creativecommons.org/licenses/by-nc-nd/4.0)

Licence:: CC Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND)

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