Control of Nonlinear Systems with Asymmetric yet Time-varying Output Constraint: A Direct Transformational Approach

  • Kai ZHAO
  • , Hui GAO
  • , Yongduan SONG*
  • , Yongcheng ZHOU
  • *Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

Abstract

In this paper, an adaptive control for strict-feedback nonlinear systems with output constraint is investigated. Different from the Barrier Lyapunov Function (BLF) based constant constraint control methods, an nonlinear output-dependent transformation is introduced, which removes the commonly used conservative design of converting the output constraint into tracking error related constraint, relaxing the requirement on the initial condition of system output; Then by constructing a new coordinate transformation, together with the backstepping and tuning function techniques, the developed adaptive control ensures that all signals in the closed-loop systems are bounded and the symmetric output constraint is not violated. Furthermore, to deal with the asymmetric yet time-varying output constraint and to reduce the difficulty of stability analysis in the asymmetric BLF (ABLF) control schemes, another nonlinear output-dependent transformation is developed such that the output constraint can be handled directly and the extra effort to ensure the continuity and differentiability of virtual controllers is not needed. The effectiveness and superiority of the proposed method has also be validated via numerical simulation.
Original languageEnglish
Title of host publicationProceedings of the 3rd International Symposium on Autonomous Systems, ISAS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages294-299
Number of pages6
ISBN (Electronic)9781728112985
DOIs
Publication statusPublished - May 2019
Externally publishedYes
EventThe 3rd International Symposium on Autonomous Systems, ISAS 2019 - Shanghai, China
Duration: 29 May 201931 May 2019

Conference

ConferenceThe 3rd International Symposium on Autonomous Systems, ISAS 2019
Abbreviated titleISAS 2019
Country/TerritoryChina
CityShanghai
Period29/05/1931/05/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Funding

This work was supported in part by the Fundamental Research Funds for the Central Universities under Project No. 2018CDPTCG0001/43 and in part by the National Natural Science Foundation of China under Grant 61860206008, 61773081, 61503021.

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