Special Issue "From Theory to Practice: Incremental Nonlinear Control"
Deadline for manuscript submissions: 30 April 2024 | Viewed by 1776
Interests: non-linear control; aerial robotics; aeroservoelasticity; morphing; reinforcement learning
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Nonlinear incremental control is a branch of control methods that utilize a data-driven incremental model. It exploits sensor measurements online and can simultaneously reduce controller model dependency and robustness. The word incremental means the controllers are designed considering the variations of state, control, and control derivatives in one incremental time step. The first invented and most well-known incremental control method is the incremental nonlinear dynamic inversion (INDI). Both theoretical and practical research has shown superior robustness and easier implementation of INDI compared to its nonlinear dynamic inversion counterpart. Originating from INDI, various nonlinear incremental control methods have been developed in the past decade, including incremental backstepping, adaptive incremental control, incremental adaptive dynamic programming, etc. These nonlinear incremental control methods have also found their broad applications in various practical fields including, aerospace, robotics, and mechanical systems.
This Special Issue aims to welcome contributions to the theoretical and practical perspectives of incremental control, including but not limited to the following:
- Stability analysis;
- Robustness analysis;
- Novel controller design based on an incremental model;
- Novel applications of nonlinear incremental control.
Dr. Xuerui Wang
Dr. Erik-Jan Van Kampen
Manuscript Submission Information
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- nonlinear control