@inproceedings{4d6aafc57cba47738112e26eb68279b0,
title = "Barrier Function Based Consensus of High-Order Nonlinear Multi-agent Systems with State Constraints",
abstract = "Consensus control of a class of high-order nonlinear multi-agent systems subject to multiple state constraints and input saturation is studied in this work. Barrier functions are employed to design a distributed controller which achieves consensus without violating the state constraints and input saturation provided that some feasibility conditions on the initial states and controller parameters are satisfied. The feasibility conditions can be checked off-line. Backstepping method and Lyapunov analysis are employed to study the convergence properties of the designed controller.",
keywords = "Barrier function, Consensus, Input saturation, Multi-agent system, Nonlinear systems, State constraints",
author = "Junjie Fu and Guanghui Wen and Yuezu Lv and Tingwen Huang",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.; 26th International Conference on Neural Information Processing, ICONIP 2019 ; Conference date: 12-12-2019 Through 15-12-2019",
year = "2019",
doi = "10.1007/978-3-030-36711-4_41",
language = "English",
isbn = "9783030367107",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "492--503",
editor = "Tom Gedeon and Wong, {Kok Wai} and Minho Lee",
booktitle = "Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings",
address = "Germany",
}