Stability analysis and adaptive tracking control for a class of switched nonlinear systems based on a nonlinear disturbance observe | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقاله 10، دوره 15، شماره 4، تیر 2024، صفحه 111-124 اصل مقاله (1.9 M) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2023.30737.4504 | ||
| نویسندگان | ||
| Masoud - Bagherzadeh؛ Zahra Rahmani* | ||
| Faculty of Electrical and Computer Engineering, Babol Noshirvani University of Technology, Mazandaran, Iran | ||
| چکیده | ||
| This paper is concerned with developing an adaptive method on the basis of a nonlinear disturbance observer (NDO) in order to control a switched nonlinear system in the presence of unknown functions and external disturbances, and under arbitrary switching signals. The proposed approach employs an adaptive backstepping technique, NDO, a fuzzy logic system (FLS), and the particle swarm optimization (PSO) algorithm. Based on a common Lyapunov function (CLF), the adaptive backstepping technique is used to design a nonlinear state-feedback controller. Also, NDO and FLS are stated to estimate the disturbances and the unknown nonlinear functions, respectively. In addition, to improve the performance of the closed-loop system, the PSO algorithm is used to optimize the controller parameters. Finally, simulation examples are taken into account to demonstrate the effectiveness of the proposed strategy. | ||
| کلیدواژهها | ||
| Switched systems؛ Tracking c ontrol؛ Adaptive backstepping technique؛ Disturbance observer | ||
| مراجع | ||
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