Terminal Time Regulator‐Based Prescribed Performance Sliding‐Mode Control

ABSTRACT This paper proposes a prescribed performance sliding mode control method based on the terminal time regulator (TTRPPSMC), which enables the system state to converge into a predetermined region at a prescribed time instant, where both the convergence region and convergence time are arbitrary constants that can be given in advance. Firstly, a performance function that can be arbitrarily adjusted is constructed, and the nominal control is designed to ensure that the newly designed system state without disturbances strictly tracks the performance function trajectory and converges to zero at a prescribed time instant. Second, the discontinuous control based on the asymmetric barrier function is designed to ensure that the errors between the actual system state and the tracking trajectory always remain inside the prescribed performance function. Compared to traditional prescribed performance methods, the TTRPPSMC designed in this paper can determine the convergence time, steady‐state accuracy, and overshoot of the system simultaneously. Moreover, the controller has a simple structure with few parameters, which are easy to tune. Finally, a comparative simulation with traditional prescribed performance methods is carried out. The proposed TTRPPSMC is also applied to the vehicle platoon system for the simulation to demonstrate the effectiveness of the designed control.

Authors

Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2026-05-01
DOI
https://doi.org/10.1002/rnc.70559
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Terminal Time Regulator‐Based Prescribed Performance Sliding‐Mode Control

Wei‐Wei Che, J L Shao, Ke Shao
International Journal of Robust and Nonlinear Control
Vehicle Dynamics and Control Systems
article

Terminal Time Regulator‐Based Prescribed Performance Sliding‐Mode Control

Wei‐Wei Che, J L Shao, Ke Shao
article en

Abstract

ABSTRACT This paper proposes a prescribed performance sliding mode control method based on the terminal time regulator (TTRPPSMC), which enables the system state to converge into a predetermined region at a prescribed time instant, where both the convergence region and convergence time are arbitrary constants that can be given in advance. Firstly, a performance function that can be arbitrarily adjusted is constructed, and the nominal control is designed to ensure that the newly designed system state without disturbances strictly tracks the performance function trajectory and converges to zero at a prescribed time instant. Second, the discontinuous control based on the asymmetric barrier function is designed to ensure that the errors between the actual system state and the tracking trajectory always remain inside the prescribed performance function. Compared to traditional prescribed performance methods, the TTRPPSMC designed in this paper can determine the convergence time, steady‐state accuracy, and overshoot of the system simultaneously. Moreover, the controller has a simple structure with few parameters, which are easy to tune. Finally, a comparative simulation with traditional prescribed performance methods is carried out. The proposed TTRPPSMC is also applied to the vehicle platoon system for the simulation to demonstrate the effectiveness of the designed control.

International Journal of Robust and Nonlinear Control
Shandong University (CN), Northwestern Polytechnical University (CN), Northeastern University (CN)
Openalex Percentile: Top 10%
Vehicle Dynamics and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.