Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints

Sijia Fan; Min Ma; Tong Wang

doi:10.1109/ICIST52614.2021.9440552

Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints

Sijia Fan
, Min Ma
, Tong Wang^*

^*Corresponding author for this work

School of Astronautics

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper investigates event-triggered adaptive control problem for a class of strict-feedback nonlinear systems with full state constraints. Barrier Lyapunov functions are utilized for the stability analysis. To reduce the computational burden and energy consumption, command filtering design technique is incorporated into the proposed event-triggered control algorithm. Finally, a numerical simulation example is given to validate effectiveness of proposed control strategy.

Original language	English
Title of host publication	2021 11th International Conference on Information Science and Technology, ICIST 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	12-17
Number of pages	6
ISBN (Electronic)	9781665412667
DOIs	https://doi.org/10.1109/ICIST52614.2021.9440552
State	Published - 21 May 2021
Event	11th International Conference on Information Science and Technology, ICIST 2021 - Chengdu, China Duration: 21 May 2021 → 23 May 2021

Publication series

Name	2021 11th International Conference on Information Science and Technology, ICIST 2021

Conference

Conference	11th International Conference on Information Science and Technology, ICIST 2021
Country/Territory	China
City	Chengdu
Period	21/05/21 → 23/05/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

adaptive backstepping
command filter
event-triggered control
full state constraints
strict-feedback

Access to Document

10.1109/ICIST52614.2021.9440552

Cite this

Fan, S., Ma, M., & Wang, T. (2021). Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints. In 2021 11th International Conference on Information Science and Technology, ICIST 2021 (pp. 12-17). Article 9440552 (2021 11th International Conference on Information Science and Technology, ICIST 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIST52614.2021.9440552

Fan, Sijia ; Ma, Min ; Wang, Tong. / Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints. 2021 11th International Conference on Information Science and Technology, ICIST 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 12-17 (2021 11th International Conference on Information Science and Technology, ICIST 2021).

@inproceedings{47ac6943afd74e768270df9ec17e866b,

title = "Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints",

abstract = "This paper investigates event-triggered adaptive control problem for a class of strict-feedback nonlinear systems with full state constraints. Barrier Lyapunov functions are utilized for the stability analysis. To reduce the computational burden and energy consumption, command filtering design technique is incorporated into the proposed event-triggered control algorithm. Finally, a numerical simulation example is given to validate effectiveness of proposed control strategy.",

keywords = "adaptive backstepping, command filter, event-triggered control, full state constraints, strict-feedback",

author = "Sijia Fan and Min Ma and Tong Wang",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 11th International Conference on Information Science and Technology, ICIST 2021 ; Conference date: 21-05-2021 Through 23-05-2021",

year = "2021",

month = may,

day = "21",

doi = "10.1109/ICIST52614.2021.9440552",

language = "英语",

series = "2021 11th International Conference on Information Science and Technology, ICIST 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "12--17",

booktitle = "2021 11th International Conference on Information Science and Technology, ICIST 2021",

address = "美国",

}

Fan, S, Ma, M & Wang, T 2021, Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints. in 2021 11th International Conference on Information Science and Technology, ICIST 2021., 9440552, 2021 11th International Conference on Information Science and Technology, ICIST 2021, Institute of Electrical and Electronics Engineers Inc., pp. 12-17, 11th International Conference on Information Science and Technology, ICIST 2021, Chengdu, China, 21/05/21. https://doi.org/10.1109/ICIST52614.2021.9440552

Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints. / Fan, Sijia; Ma, Min; Wang, Tong.
2021 11th International Conference on Information Science and Technology, ICIST 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 12-17 9440552 (2021 11th International Conference on Information Science and Technology, ICIST 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints

AU - Fan, Sijia

AU - Ma, Min

AU - Wang, Tong

PY - 2021/5/21

Y1 - 2021/5/21

N2 - This paper investigates event-triggered adaptive control problem for a class of strict-feedback nonlinear systems with full state constraints. Barrier Lyapunov functions are utilized for the stability analysis. To reduce the computational burden and energy consumption, command filtering design technique is incorporated into the proposed event-triggered control algorithm. Finally, a numerical simulation example is given to validate effectiveness of proposed control strategy.

AB - This paper investigates event-triggered adaptive control problem for a class of strict-feedback nonlinear systems with full state constraints. Barrier Lyapunov functions are utilized for the stability analysis. To reduce the computational burden and energy consumption, command filtering design technique is incorporated into the proposed event-triggered control algorithm. Finally, a numerical simulation example is given to validate effectiveness of proposed control strategy.

KW - adaptive backstepping

KW - command filter

KW - event-triggered control

KW - full state constraints

KW - strict-feedback

UR - https://www.scopus.com/pages/publications/85108016886

U2 - 10.1109/ICIST52614.2021.9440552

DO - 10.1109/ICIST52614.2021.9440552

M3 - 会议稿件

AN - SCOPUS:85108016886

T3 - 2021 11th International Conference on Information Science and Technology, ICIST 2021

SP - 12

EP - 17

BT - 2021 11th International Conference on Information Science and Technology, ICIST 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th International Conference on Information Science and Technology, ICIST 2021

Y2 - 21 May 2021 through 23 May 2021

ER -

Fan S, Ma M, Wang T. Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints. In 2021 11th International Conference on Information Science and Technology, ICIST 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 12-17. 9440552. (2021 11th International Conference on Information Science and Technology, ICIST 2021). doi: 10.1109/ICIST52614.2021.9440552

Command filter based event-triggered adaptive control for strict-feedback nonlinear systems with full state constraints

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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