Composite Event-Triggered Dual-Mode Model Predictive Control for Nonlinear Systems with Additive Disturbances

Pengbiao Wang; Xuemei Ren

doi:10.23919/CCC58697.2023.10240493

Composite Event-Triggered Dual-Mode Model Predictive Control for Nonlinear Systems with Additive Disturbances

Pengbiao Wang, Xuemei Ren^*

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

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

Abstract

In this work, we propose a novel event-triggered dual-mode model predictive control (ETDMMPC) framework for nonlinear systems subject to additive disturbances and constraints. Two event-triggered mechanisms are configured with the sensor node and the controller node, which aims to decrease the usage of communication and computational resources, respectively. Based on this, we focus on presenting an ETDMMPC algorithm for the controlled systems. Moreover, the recursive feasibility and the system stability are strictly proved by using the induction, Lyapunov and contradiction methods. Finally, the designed scheme was verified with the help of a simulation study.

Original language	English
Title of host publication	2023 42nd Chinese Control Conference, CCC 2023
Publisher	IEEE Computer Society
Pages	2664-2669
Number of pages	6
ISBN (Electronic)	9789887581543
DOIs	https://doi.org/10.23919/CCC58697.2023.10240493
Publication status	Published - 2023
Event	42nd Chinese Control Conference, CCC 2023 - Tianjin, China Duration: 24 Jul 2023 → 26 Jul 2023

Publication series

Name	Chinese Control Conference, CCC
Volume	2023-July
ISSN (Print)	1934-1768
ISSN (Electronic)	2161-2927

Conference

Conference	42nd Chinese Control Conference, CCC 2023
Country/Territory	China
City	Tianjin
Period	24/07/23 → 26/07/23

Keywords

dual-mode model predictive control
event-triggered control
nonlinear systems
state and input constraints

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10.23919/CCC58697.2023.10240493

Cite this

@inproceedings{3bfaac4acc5244a68e96e92edca99786,

title = "Composite Event-Triggered Dual-Mode Model Predictive Control for Nonlinear Systems with Additive Disturbances",

abstract = "In this work, we propose a novel event-triggered dual-mode model predictive control (ETDMMPC) framework for nonlinear systems subject to additive disturbances and constraints. Two event-triggered mechanisms are configured with the sensor node and the controller node, which aims to decrease the usage of communication and computational resources, respectively. Based on this, we focus on presenting an ETDMMPC algorithm for the controlled systems. Moreover, the recursive feasibility and the system stability are strictly proved by using the induction, Lyapunov and contradiction methods. Finally, the designed scheme was verified with the help of a simulation study.",

keywords = "dual-mode model predictive control, event-triggered control, nonlinear systems, state and input constraints",

author = "Pengbiao Wang and Xuemei Ren",

note = "Publisher Copyright: {\textcopyright} 2023 Technical Committee on Control Theory, Chinese Association of Automation.; 42nd Chinese Control Conference, CCC 2023 ; Conference date: 24-07-2023 Through 26-07-2023",

year = "2023",

doi = "10.23919/CCC58697.2023.10240493",

language = "English",

series = "Chinese Control Conference, CCC",

publisher = "IEEE Computer Society",

pages = "2664--2669",

booktitle = "2023 42nd Chinese Control Conference, CCC 2023",

address = "United States",

}

Wang, P & Ren, X 2023, Composite Event-Triggered Dual-Mode Model Predictive Control for Nonlinear Systems with Additive Disturbances. in 2023 42nd Chinese Control Conference, CCC 2023. Chinese Control Conference, CCC, vol. 2023-July, IEEE Computer Society, pp. 2664-2669, 42nd Chinese Control Conference, CCC 2023, Tianjin, China, 24/07/23. https://doi.org/10.23919/CCC58697.2023.10240493

Composite Event-Triggered Dual-Mode Model Predictive Control for Nonlinear Systems with Additive Disturbances. / Wang, Pengbiao; Ren, Xuemei.
2023 42nd Chinese Control Conference, CCC 2023. IEEE Computer Society, 2023. p. 2664-2669 (Chinese Control Conference, CCC; Vol. 2023-July).

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

TY - GEN

T1 - Composite Event-Triggered Dual-Mode Model Predictive Control for Nonlinear Systems with Additive Disturbances

AU - Wang, Pengbiao

AU - Ren, Xuemei

PY - 2023

Y1 - 2023

N2 - In this work, we propose a novel event-triggered dual-mode model predictive control (ETDMMPC) framework for nonlinear systems subject to additive disturbances and constraints. Two event-triggered mechanisms are configured with the sensor node and the controller node, which aims to decrease the usage of communication and computational resources, respectively. Based on this, we focus on presenting an ETDMMPC algorithm for the controlled systems. Moreover, the recursive feasibility and the system stability are strictly proved by using the induction, Lyapunov and contradiction methods. Finally, the designed scheme was verified with the help of a simulation study.

AB - In this work, we propose a novel event-triggered dual-mode model predictive control (ETDMMPC) framework for nonlinear systems subject to additive disturbances and constraints. Two event-triggered mechanisms are configured with the sensor node and the controller node, which aims to decrease the usage of communication and computational resources, respectively. Based on this, we focus on presenting an ETDMMPC algorithm for the controlled systems. Moreover, the recursive feasibility and the system stability are strictly proved by using the induction, Lyapunov and contradiction methods. Finally, the designed scheme was verified with the help of a simulation study.

KW - dual-mode model predictive control

KW - event-triggered control

KW - nonlinear systems

KW - state and input constraints

UR - http://www.scopus.com/inward/record.url?scp=85175550608&partnerID=8YFLogxK

U2 - 10.23919/CCC58697.2023.10240493

DO - 10.23919/CCC58697.2023.10240493

M3 - Conference contribution

AN - SCOPUS:85175550608

T3 - Chinese Control Conference, CCC

SP - 2664

EP - 2669

BT - 2023 42nd Chinese Control Conference, CCC 2023

PB - IEEE Computer Society

T2 - 42nd Chinese Control Conference, CCC 2023

Y2 - 24 July 2023 through 26 July 2023

ER -

Composite Event-Triggered Dual-Mode Model Predictive Control for Nonlinear Systems with Additive Disturbances

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