Adaptive Asymptotic Control of Stochastic Systems With State Delay and Unknown Control Directions

Autor:	Jian Wu, Yongbo Sun, Qianjin Zhao
Rok vydání:	2022
Předmět:	Scheme (programming language) Nonlinear system Control theory Computer science Feedback control Control (management) Convergence (routing) Key (cryptography) State (functional analysis) Electrical and Electronic Engineering computer computer.programming_language
Zdroj:	IEEE Transactions on Circuits and Systems II: Express Briefs. 69:174-178
ISSN:	1558-3791 1549-7747
DOI:	10.1109/tcsii.2021.3075884
Popis:	For a class of stochastic nonlinear systems (SNSs) with state delay and unknown control directions (UCDs), the global asymptotic regulation problem is investigated in this brief. Based on the key Lyapunov-Krasovskii functional (KLF), a dynamic feedback control strategy is designed to solve the time delay and UCDs problems. The proposed dynamic compensator guarantees the global asymptotic convergence of the systems state in probability at the origin and the global boundedness of the closed-loop system (TCLS) in probability. Finally, an example is given to verify the effectiveness of the developed scheme.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7635c4830c6136492251002a6861dd66 https://doi.org/10.1109/tcsii.2021.3075884 Zobrazit plný text záznamu