@article{296f0577748d4d41a90c39f9a3803707,
title = "An adaptive sliding mode control system and its application to real-time hybrid simulation",
abstract = "Real-time hybrid simulation (RTHS) is intended to serve as a technique able to conduct experiments when the behavior of the plant is not well understood, i.e., when deep uncertainties are present in the physical specimen. By combining strategies from robust control and adaptive control, this paper develops an adaptive sliding mode control (ASMC) system for uncertain control plants. The ASMC consists of a bounded-gain forgetting least-squares estimator and a sliding mode controller, aimed at estimating parameters of the control plant and eliminating the negative effects of estimation errors, respectively. The ASMC is evaluated by applying it to the benchmark control problem in RTHS, where the fifth-order control plant is reduced to a second-order control plant to facilitate the control system's design and execution. High performance and robustness are achieved with the adoption of ASMC. The results demonstrate that an effective ASMC can be designed based on a significantly simplified control plant, making it a potent control system for RTHS.",
keywords = "adaptive control, model uncertainties, real-time hybrid simulation, robust control, sliding mode control",
author = "Li, {Hong Wei} and Amin Maghareh and {Wilfredo Condori Uribe}, Johnny and Herta Montoya and Dyke, {Shirley J.} and Zhaodong Xu",
note = "Funding Information: The authors express their appreciation for the support from the program of National Key Research and Development Program of China (2016YFE0200500), China Scholarships Council (No.201706090092), the Priority Academic Program of Jiangsu Higher Education Institutions (CE02-1-48), the Fundamental Research Funds for the Central University - Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX170126), Distinguished Young Scholars (Grant Number: 51625803), Changjiang Scholars Program of Ministry of Education of China, Key Research and Development Project of Anhui Province (202104G01020002), Peruvian National Council of Science Technology and Technological Innovation (CONCYTEC) Fellowship, US National Science Foundation (Award No. CMMI-1661621) and Purdue University's System Collaboratory Fellows Program. Funding Information: The authors express their appreciation for the support from the program of National Key Research and Development Program of China (2016YFE0200500), China Scholarships Council (No.201706090092), the Priority Academic Program of Jiangsu Higher Education Institutions (CE02‐1‐48), the Fundamental Research Funds for the Central University ‐ Postgraduate Research & Practice Innovation Program of Jiangsu Province (KYCX170126), Distinguished Young Scholars (Grant Number: 51625803), Changjiang Scholars Program of Ministry of Education of China, Key Research and Development Project of Anhui Province (202104G01020002), Peruvian National Council of Science Technology and Technological Innovation (CONCYTEC) Fellowship, US National Science Foundation (Award No. CMMI‐1661621) and Purdue University's System Collaboratory Fellows Program. Publisher Copyright: {\textcopyright} 2021 John Wiley & Sons, Ltd.",
year = "2022",
month = jan,
doi = "10.1002/stc.2851",
language = "English",
volume = "29",
journal = "Structural Control and Health Monitoring",
issn = "1545-2255",
publisher = "John Wiley and Sons Ltd",
number = "1",
}