Tracking control of an underactuated ship

By E. Lefeber, Kristin Ytterstad Pettersen, H. Nijmeijer. IEEE Transactions on Control Systems Technology, 2003

382 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/f20f2ab44b5f59cc148585cc7015bbae861abc1e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Kristin Ytterstad Pettersen
2. Ning Wang
3. Jing-Chao Sun
4. Yancheng Liu
5. Wasif Naeem
6. George W. Irwin
7. S. Campbell
8. Antonio Pedro Aguiar

In Ocean Engineering

1. Kristin Ytterstad Pettersen
2. Wasif Naeem
3. George W. Irwin
4. S. Campbell
5. Jun Wang
6. Zhouhua Peng
7. Thor I. Fossen

Citations in the corpus

• Integral Line-of-Sight Guidance and Control of Underactuated Marine Vehicles: Theory, Simulations, and Experiments (2016, positive): “These results are improved in [17] and extended to trajectory tracking in [18].”
• Trajectory-Tracking and Path-Following of Underactuated Autonomous Vehicles With Parametric Modeling Uncertainty (2007, background): “Several examples of nonlinear trajectory-tracking controllers for marine underactuated vehicles have been reported in the literature [12]–[19].”
• Adaptive Trajectory Tracking Control of a Fully Actuated Surface Vessel With Asymmetrically Constrained Input and Output (2018, neutral): “1 [22].”
• Trajectory tracking of autonomous vessels using model predictive control (2014, background): “Cascaded frameworks (Lefeber et al., 2003) may be applicable, but system constraints and disturbances are still difficult to be handled.”
• Sliding-Mode Tracking Control of Surface Vessels (2008, background): “The only experimental work in the underactuated surface vessel control area, to our knowledge, has been presented for set point stabilization [10] and ship tracking [ 20 ].”
• A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvres (2012, methodology): “It may be necessary to track the time-parameterised path or simply regulate the heading angle using basic PID control (Roberts, 2008), with the former requiring more advanced optimal or adaptive control techniques, such as H1 (Lefeber et al., 2003) or Linear Quadratic Gaussian (LQG) methods (Naeem, ”
• Adaptive Robust Finite-Time Trajectory Tracking Control of Fully Actuated Marine Surface Vehicles (2016, background): “Under further conditions on persistent excitation, tracking errors can be rendered globally exponentially stable (see [10]–[12]).”