Adaptive output feedback regulation for a class of uncertain feedforward stochastic nonlinear systems. Issue 1 (3rd January 2022)

• Record Type: Journal Article
• Authors: Belfeki, Mohsen
• Is Part Of: Stochastic analysis and applications. Volume 40:Issue 1(2022)
• Page Start: 158
• Page End: 178
• Publication Date: 2022-01-03
• Subjects: Uncertain feedforward stochastic systems -- adaptive regulation -- output feedback -- dynamic gain; Stochastic analysis -- Periodicals; 519.2205
• DOI: 10.1080/07362994.2021.1893749
• Languages: English
• ISSNs: 0736-2994

Abstract

Abstract: This paper addresses the global output feedback regulation problem for a class of uncertain feedforward stochastic nonlinear systems. Unlike the previous works, the drift's growth rate depends not only on an unknown constant but also on an output polynomial function and an input function. Moreover, the diffusion's growth rate depends on an unknown constant or an output polynomial function and an input function. By using the general stochastic convergence theorem, an output controller is constructed to guarantee the boundedness and stochastic convergence of the resulting closed-loop system.