Composite nonlinear disturbance observer-based practical prescribed time control for nonlinear systems with matched
Mingyu Yang1, Xuemei Ren1, Jiangchao Song1
1School of Automation, Beijing Institute of Technology, Beijing, 100081, China.
ISA Transactions
|July 15, 2026
Summary
This study introduces a practical prescribed-time control (PPTC) scheme for nonlinear systems with disturbances. The method ensures system performance within a set time, even with complex disturbances.
Area of Science:
- Control Systems Engineering
- Nonlinear Dynamics
- Robotics
Background:
- Nonlinear strict-feedback systems often face challenges with matched and mismatched disturbances.
- Achieving precise control within a finite, predetermined time is crucial for many applications.
- Existing control methods may struggle with complexity or disturbance rejection.
Purpose of the Study:
- To develop a practical prescribed-time control (PPTC) scheme for nonlinear strict-feedback systems.
- To ensure prescribed transient and steady-state performances within a specified time frame.
- To effectively handle both matched and mismatched disturbances.
Main Methods:
- A novel error transformation mechanism using a prescribed-time constraining function and tanh(⋅).
- Design of a composite nonlinear disturbance observer (CNDO) for fast disturbance estimation.
- Implementation of a nonlinear filter to prevent "explosion of complexity".
- Backstepping method combined with CNDO estimates and nonlinear filter for controller design.
Main Results:
- The proposed scheme ensures system output satisfies constraints within the prescribed time.
- Disturbance estimation is fast and accurate, improving control performance.
- Control cost is reduced while maintaining desired performance.
- Theoretical analysis and experimental results validate the effectiveness on a turntable servo system.
Conclusions:
- The composite nonlinear disturbance observer-based PPTC scheme effectively controls nonlinear systems under disturbances within a prescribed time.
- The method achieves desired transient and steady-state performance, handles complexity, and reduces control effort.
- Validated through simulations and experiments, demonstrating practical applicability.
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