Tracking Control With Input Saturation and Full-State Constraints for Surface Vessels
To solve the problems of full-state constraints in trajectory tracking of surface vessels, a backstepping technique combining a novel integral barrier Lyapunov function (iBLF) with neural network and sliding mode is proposed. Moreover, the control law is extended to the control problem with input sa...
Main Authors: | Yuanhui Wang, Xiyun Jiang, Wenchao She, Fuguang Ding |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8863903/ |
Similar Items
-
Prescribed Performance Control of Marine Surface Vessel Trajectory Tracking in Finite-Time with Full-State Constraints and Input Saturation
by: Xiyun Jiang, et al.
Published: (2021-08-01) -
Observer-Based Adaptive Neural Control for Non-Triangular Form Systems With Input Saturation and Full State Constraints
by: Rui Zhang, et al.
Published: (2019-01-01) -
Formation Control of Unmanned Vessels with Saturation Constraint and Extended State Observation
by: Huixuan Fu, et al.
Published: (2021-07-01) -
Adaptive Neural Fault-Tolerant Control for the Yaw Control of UAV Helicopters with Input Saturation and Full-State Constraints
by: Qiang Zhang, et al.
Published: (2020-02-01) -
Adaptive neural tracking control for a class of nonlinear systems with input delay and saturation
by: Ya-Dong Li, et al.
Published: (2021-05-01)