Iterative parameter estimation for a class of fractional-order Hammerstein nonlinear systems disturbed by colored noise DOI
Junwei Wang, Yan Ji, Feng Ding

et al.

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Considering the existence of nonlinearity and fractional-order phenomena in practical environments, this paper investigates parameter estimation methods for a class Hammerstein nonlinear systems disturbed by colored noise. The are based on decomposition strategy, separating identification from system parameters. Meanwhile, is divided into two subsystems, which linear block using hierarchical principle. To overcome problem redundant estimation, over-parameterization method key item separation used, respectively. Then, two-stage gradient-based iterative algorithm term derived, auxiliary model used to compute unmeasurable variables. In addition, we analyze computational efficiencies proposed algorithms. simulation results indicate that algorithms effective. Finally, evaluated through battery model. show well agreement with real outputs.

Language: Английский

Neuro‐adaptive fractional order prescribed performance backstepping control for a class of strict‐feedback non‐linear systems DOI Creative Commons
Le Zhao, Guanci Yang, Kexin Luo

et al.

IET Control Theory and Applications, Journal Year: 2025, Volume and Issue: 19(1)

Published: Jan. 1, 2025

Abstract To suppress the non‐linear motion for a class of strict‐feedback fractional order systems, and to improve their transient steady‐state performance, neuro‐adaptive prescribed performance backstepping control strategy suitable systems is proposed in this paper. Firstly, interval Type‐2 fuzzy neural network constructed approximate unknown functions. Secondly, tracking differentiator introduced address problem ‘explosion complexity’ associated with technique framework backstepping. Then, controller composed predetermined functions equivalent transformed errors, which can ensure that errors converge intervals designed within control. Finally, stability analysis, two simulation experiments comparative experiment results are presented demonstrate feasibility effectiveness controller.

Language: Английский

Citations

0
Iterative parameter estimation for a class of fractional-order Hammerstein nonlinear systems disturbed by colored noise DOI
Junwei Wang, Yan Ji, Feng Ding

et al.

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering, Journal Year: 2025, Volume and Issue: unknown

Published: March 28, 2025

Considering the existence of nonlinearity and fractional-order phenomena in practical environments, this paper investigates parameter estimation methods for a class Hammerstein nonlinear systems disturbed by colored noise. The are based on decomposition strategy, separating identification from system parameters. Meanwhile, is divided into two subsystems, which linear block using hierarchical principle. To overcome problem redundant estimation, over-parameterization method key item separation used, respectively. Then, two-stage gradient-based iterative algorithm term derived, auxiliary model used to compute unmeasurable variables. In addition, we analyze computational efficiencies proposed algorithms. simulation results indicate that algorithms effective. Finally, evaluated through battery model. show well agreement with real outputs.

Language: Английский

Citations

0