Nonadaptive Output Regulation of Second-Order Nonlinear Uncertain Systems

Fuente: arXiv
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Main Authors: Lu, Maobin, Guay, Martin, Harry, Telema, Wang, Shimin, Cooper, Jordan
Format: Preprint
Published: 2025
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author Lu, Maobin
Guay, Martin
Harry, Telema
Wang, Shimin
Cooper, Jordan
author_facet Lu, Maobin
Guay, Martin
Harry, Telema
Wang, Shimin
Cooper, Jordan
contents This paper investigates the robust output regulation problem of second-order nonlinear uncertain systems with an unknown exosystem. Instead of the adaptive control approach, this paper resorts to a robust control methodology to solve the problem and thus avoid the bursting phenomenon. In particular, this paper constructs generic internal models for the steady-state state and input variables of the system. By introducing a coordinate transformation, this paper converts the robust output regulation problem into a nonadaptive stabilization problem of an augmented system composed of the second-order nonlinear uncertain system and the generic internal models. Then, we design the stabilization control law and construct a strict Lyapunov function that guarantees the robustness with respect to unmodeled disturbances. The analysis shows that the output zeroing manifold of the augmented system can be made attractive by the proposed nonadaptive control law, which solves the robust output regulation problem. Finally, we demonstrate the effectiveness of the proposed nonadaptive internal model approach by its application to the control of the Duffing system.
format Preprint
id arxiv_https___arxiv_org_abs_2505_21838
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Nonadaptive Output Regulation of Second-Order Nonlinear Uncertain Systems
Lu, Maobin
Guay, Martin
Harry, Telema
Wang, Shimin
Cooper, Jordan
Systems and Control
Artificial Intelligence
Optimization and Control
Chaotic Dynamics
This paper investigates the robust output regulation problem of second-order nonlinear uncertain systems with an unknown exosystem. Instead of the adaptive control approach, this paper resorts to a robust control methodology to solve the problem and thus avoid the bursting phenomenon. In particular, this paper constructs generic internal models for the steady-state state and input variables of the system. By introducing a coordinate transformation, this paper converts the robust output regulation problem into a nonadaptive stabilization problem of an augmented system composed of the second-order nonlinear uncertain system and the generic internal models. Then, we design the stabilization control law and construct a strict Lyapunov function that guarantees the robustness with respect to unmodeled disturbances. The analysis shows that the output zeroing manifold of the augmented system can be made attractive by the proposed nonadaptive control law, which solves the robust output regulation problem. Finally, we demonstrate the effectiveness of the proposed nonadaptive internal model approach by its application to the control of the Duffing system.
title Nonadaptive Output Regulation of Second-Order Nonlinear Uncertain Systems
topic Systems and Control
Artificial Intelligence
Optimization and Control
Chaotic Dynamics
url https://arxiv.org/abs/2505.21838