Neural network-based output feedback control for reference tracking of underactuated surface vessels
Authors:
- Bong Seok ParkBPBong Seok Park
- Ji-Wook KwonJKJi-Wook Kwon
- Hongkeun KimHKHongkeun Kim
Top Cited Papers
- 1 March 2017
- journal article
- Published by Elsevier in Automatica
- Vol. 77, 353-359
Abstract
No abstract availableKeywords
Funding Information
- Ministry of Education, Science and Technology (NRF-2012R1A1A1041216)
- National Research Foundation of Korea
This publication has 21 references indexed in Scilit:
- Direct Adaptive Neural Control for a Class of Uncertain Nonaffine Nonlinear Systems Based on Disturbance ObserverIEEE Transactions on Cybernetics, 2012
- Robust Adaptive Position Mooring Control for Marine VesselsIEEE Transactions on Control Systems Technology, 2012
- Global Tracking Control of Underactuated Ships With Input and Velocity Constraints Using Dynamic Surface Control MethodIEEE Transactions on Control Systems Technology, 2010
- Global stabilisation and tracking control of underactuated surface vesselsIET Control Theory & Applications, 2010
- Straight line path following for formations of underactuated surface vessels under influence of constant ocean currents2009
- Underactuated ships follow smooth paths with Integral actions and without velocity measurements for feedback: theory and experimentsIEEE Transactions on Control Systems Technology, 2006
- A global output-feedback controller for stabilization and tracking of underactuated ODIN: A spherical underwater vehicleAutomatica, 2004
- Underactuated ship global tracking under relaxed conditionsIEEE Transactions on Automatic Control, 2002
- Universal controllers for stabilization and tracking of underactuated shipsSystems & Control Letters, 2002
- Tracking control for underwater vehicle-manipulator systems with velocity estimationIEEE Journal of Oceanic Engineering, 2000