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Related Experiment Video

Updated: Jun 12, 2026

Gain-compensation Methodology for a Sinusoidal Scan of a Galvanometer Mirror in Proportional-Integral-Differential Control Using Pre-emphasis Techniques

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Observer-based output-feedback stabilization of nonlinear systems with periodically event-triggered

Xueling Li¹, Min Wang², Xiangze Lin²

¹School of Science, China Pharmaceutical University, Nanjing 211198, PR China.

ISA Transactions

|June 10, 2026

Summary

This study stabilizes nonlinear systems using observer-based feedback and event-triggered data sampling. The method ensures system stability by updating observers and controllers only when necessary, reducing data transmission.

Keywords:

Nonlinear systems Periodic event-triggered mechanism Reduced-order observer Sampled output feedback

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Area of Science:

Control Systems Engineering
Nonlinear Dynamics
Systems Theory

Background:

Observer-based control is crucial for nonlinear systems where states are unmeasurable.
Event-triggered control reduces communication load by transmitting data selectively.
Periodic sampling in nonlinear systems can be inefficient if data is not always needed.

Purpose of the Study:

To investigate observer-based state feedback stabilization for nonlinear systems with event-triggered sampled-output data.
To develop a control strategy that utilizes periodically sampled outputs but transmits data based on an event-triggered mechanism.
To ensure asymptotic stability of the closed-loop nonlinear system.

Main Methods:

Designing a reduced-order observer to estimate unmeasurable states from transmitted sampled-output data.
Developing a state feedback stabilizer using the homogeneous domination approach.
Implementing a periodically event-triggered mechanism to determine data transmission instants.
Employing stability analysis that requires only a bounded energy function between sampling intervals.

Main Results:

The proposed event-triggered mechanism effectively determines sampling instants for observer and controller updates.
The control strategy successfully achieves asymptotic stability for the closed-loop nonlinear system.
Conservatism in stability analysis is reduced, as monotonic decrease of the energy function is not required.

Conclusions:

The developed observer-based state feedback control with a periodically event-triggered mechanism is effective for stabilizing strict-feedback nonlinear systems.
This approach offers improved efficiency by reducing unnecessary data transmissions.
The method provides a less conservative stability analysis compared to traditional approaches.