Universal Adaptive Control of Nonlinear Systems

This letter develops a new direct adaptive control framework that extends the certainty equivalence principle to general nonlinear systems with unmatched model uncertainties. The approach adjusts the rate of adaptation online to eliminate the effects of parameter estimation transients on stability....

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Main Authors: Lopez, Brett T., Slotine, Jean-Jacques E.
其他作者: Massachusetts Institute of Technology. Department of Mechanical Engineering
格式: 文件
语言:English
出版: Institute of Electrical and Electronics Engineers 2024
在线阅读:https://hdl.handle.net/1721.1/154993
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author Lopez, Brett T.
Slotine, Jean-Jacques E.
author2 Massachusetts Institute of Technology. Department of Mechanical Engineering
author_facet Massachusetts Institute of Technology. Department of Mechanical Engineering
Lopez, Brett T.
Slotine, Jean-Jacques E.
author_sort Lopez, Brett T.
collection MIT
description This letter develops a new direct adaptive control framework that extends the certainty equivalence principle to general nonlinear systems with unmatched model uncertainties. The approach adjusts the rate of adaptation online to eliminate the effects of parameter estimation transients on stability. The method can be immediately combined with a previously designed or learned feedback policy if a corresponding model-parameterized Lyapunov function or contraction metric is known. Simulation results of various nonlinear systems with unmatched uncertainties illustrate the approach.
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spelling mit-1721.1/1549932025-01-04T05:00:06Z Universal Adaptive Control of Nonlinear Systems Lopez, Brett T. Slotine, Jean-Jacques E. Massachusetts Institute of Technology. Department of Mechanical Engineering Massachusetts Institute of Technology. Nonlinear Systems Laboratory This letter develops a new direct adaptive control framework that extends the certainty equivalence principle to general nonlinear systems with unmatched model uncertainties. The approach adjusts the rate of adaptation online to eliminate the effects of parameter estimation transients on stability. The method can be immediately combined with a previously designed or learned feedback policy if a corresponding model-parameterized Lyapunov function or contraction metric is known. Simulation results of various nonlinear systems with unmatched uncertainties illustrate the approach. 2024-05-17T16:02:53Z 2024-05-17T16:02:53Z 2022 2024-05-17T15:44:44Z Article http://purl.org/eprint/type/JournalArticle 2475-1456 https://hdl.handle.net/1721.1/154993 B. T. Lopez and J. -J. E. Slotine, "Universal Adaptive Control of Nonlinear Systems," in IEEE Control Systems Letters, vol. 6, pp. 1826-1830, 2022. en 10.1109/lcsys.2021.3133359 IEEE Control Systems Letters Creative Commons Attribution-Noncommercial-ShareAlike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers arxiv
spellingShingle Lopez, Brett T.
Slotine, Jean-Jacques E.
Universal Adaptive Control of Nonlinear Systems
title Universal Adaptive Control of Nonlinear Systems
title_full Universal Adaptive Control of Nonlinear Systems
title_fullStr Universal Adaptive Control of Nonlinear Systems
title_full_unstemmed Universal Adaptive Control of Nonlinear Systems
title_short Universal Adaptive Control of Nonlinear Systems
title_sort universal adaptive control of nonlinear systems
url https://hdl.handle.net/1721.1/154993
work_keys_str_mv AT lopezbrettt universaladaptivecontrolofnonlinearsystems
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