Fixed‐time orientation estimation and network localisation of multi‐agent systems

Autor:	Younghun John, Kwang‐Kyo Oh, Bariş Fidan, Hyo‐Sung Ahn
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Optimisation techniques Stability in control theory Nonlinear control systems Control engineering systems. Automatic machinery (General) TJ212-225
Zdroj:	IET Control Theory & Applications, Vol 15, Iss 1, Pp 64-76 (2021)
Druh dokumentu:	article
ISSN:	1751-8652 1751-8644
DOI:	10.1049/cth2.12026
Popis:	Abstract Among different distributed network localisation methods, displacement‐based network localisation with orientation estimation is an effective approach because it does not require global information and yet asymptotically produces accurate estimates. In this paper, to improve transient performance of this approach, non‐linear laws to achieve fixed‐time orientation estimation and fixed‐time displacement‐based localisation are proposed. A sequential algorithm ensuring fixed‐time convergence property and show uniform asymptotic stability of a fixed‐time network localisation with simultaneous fixed‐time orientation estimation is further provided. Simulation results verify that the proposed laws achieve network localisation of multi‐agent systems within fixed settling time.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/daeaf3af72874b19b35a243b2951b0e8 Zobrazit plný text záznamu Plný text View record in DOAJ