Premium
Decentralized event‐triggered control of large‐scale nonlinear systems
Author(s) -
Liu Tengfei,
Jiang ZhongPing,
Zhang Pengpeng
Publication year - 2019
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/rnc.4832
Subject(s) - benchmark (surveying) , control theory (sociology) , nonlinear system , sampling (signal processing) , decentralised system , computer science , interconnection , scale (ratio) , event (particle physics) , signal (programming language) , state (computer science) , class (philosophy) , control (management) , control engineering , engineering , algorithm , telecommunications , artificial intelligence , physics , geodesy , quantum mechanics , detector , programming language , geography
Summary This paper studies the decentralized event‐triggered control of large‐scale nonlinear systems. We consider a class of decentralized control systems that are transformable into an interconnection of input‐to‐state stable subsystems with the sampling errors as the inputs. The sampling events for each subsystem are triggered by a threshold signal, and the threshold signals for the subsystems are independent with each other for the decentralized implementation. By appropriately designing the event‐triggering mechanisms, it is shown that infinitely fast sampling can be avoided for each subsystem and asymptotic regulation is achievable for the large‐scale system. The proposed design is based on the ISS small‐gain arguments, and is validated by a benchmark example of controlling two coupled inverted pendulums.