Observer-Based Decentralized Predictor Control for Large-Scale Interconnected Systems With Large Delays

• 成果类型: Article
• 署名作者: Zhu, Yang; Fridman, Emilia
• 署名单位: Zhejiang University; Tel Aviv University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2020.3011396
• 发表日期: 2021
• 页码: 2897-2904
• 关键词: Delays; observers; stability analysis; Closed loop systems; Symmetric matrices; Interconnected systems; Tuning; delay; large scale; predictor

摘要

This article proposes a decentralized predictor-based output feedback to compensate for large delays in large-scale interconnected systems under the premise that the interconnections between subsystems are not strong. The full state of each subsystem is assumed to be unmeasurable and the observer-based output feedback is employed. Two methods are used to tackle the large delays: the backstepping-based partial differential equation (PDE) approach and the reduction-based ordinary differential equation (ODE) approach. The PDE method is used for continuous-time control and manages with larger delays, whereas the ODE method is applicable to sampled-data implementation under discrete-time measurement.