Neuro-control of unmanned underwater vehicles

References

• Akkizidis , I , Roberts , G , Ridao , P and Batlle , J . 2003 . Designing a fuzzy-like PD controller for an underwater robot . Control Engng Practice , 11 : 471 – 480 .
   Google Scholar
• Chen , S , Chang , ES and Alkadhimi , K . 1996 . Regularized orthogonal least squares algorithm for constructing radial basis function networks . Int. J. Control , 64 : 829 – 837 .
   Web of Science ®Google Scholar
• Cui , X and Shin , KG . 1993 . Direct control and coordination using neural networks . IEEE Trans Syst., Man Cybernet. , 23 : 686 – 697 .
   Web of Science ®Google Scholar
• Fossen , TI . 1994 . Guidance and Control of Ocean Vehicles , New York : Wiley .
   Google Scholar
• Fossen , TI and Sagatun , SI . 1991 . Adaptive control of nonlinear systems: a case study of underwater robotic systems . J. Robotic Syst. , 8 : 392 – 412 .
   Google Scholar
• Fossen , TI , Sagatun , SI and Sørensen , A . 1995 . Identification of dynamically positioned ships . Proceedings of the IFAC Workshop on Control Applications in Marine Systems (CAMS’95) , : 183 – 186 .
   Google Scholar
• Fujii , T , Ishii , K and Ura , T . 1998 . Neural network system for on-line controller adaptation and its application to underwater robot . Proceedings of the 1998 IEEE Conference on Robotics and Automation , : 750 – 755 .
   Google Scholar
• Healey , J and Lienard , D . 1993 . Multivariable sliding mode control for autonomous diving and steering of unmanned underwater vehicles . IEEE J. Oceanic Engng , 18 : 327 – 339 .
   Web of Science ®Google Scholar
• Henriksen , L , Bjerrum , A and Ishoy , A . 1995 . Sea trials of MARTIN—a European survey AUV . Challenges of Our Changing Global Environment, Proceedings of the MTS/IEEE OCEANS 95 Conference , : 1439 – 1445 .
   Google Scholar
• Hrycej , T . 1997 . Neurocontrol: Towards an Industrial Control Methodology , New York : Wiley .
   Google Scholar
• Kim , YH and Lewis , FL . 1998 . High-level Feedback Control with Neural Networks , Singapore : World Scientific .
   Google Scholar
• Kodogiannis , VS . 2000 . Comparison of advanced learning algorithms for short-term load forecasting . J. Intelligent Fuzzy Syst. , 8 : 243 – 259 .
   Google Scholar
• Kodogiannis , VS , Lisboa , PJG and Lucas , J . 1996 . Neural network modelling and control for underwater vehicles . Artif. Intell. Engng , 1 : 203 – 212 .
   Google Scholar
• Kodogiannis , VS and Tomtsis , D . 2001 . Neural network adaptive controller for unmanned underwater vehicles . Neural Network World J. , 11 : 207 – 221 .
   Google Scholar
• Lee , P , Hong , S , Lim , Y , Lee , C , Jeon , B and Park , J . 1999 . Discrete-time quasi-sliding mode control of an autonomous underwater vehicle . IEEE J. Oceanic Engng , 24 : 388 – 395 .
   Google Scholar
• Lee , C , Wang , J and Yuh , J . 2001 . Self-adaptive neuro-fuzzy systems for autonomous underwater vehicle control . Adv. Robotics , 15 : 589 – 608 .
   Web of Science ®Google Scholar
• Lewis , FL , Yesildirek , A and Liu , K . 1993 . Neural net robot controller: structure and stability proofs . Proceedings of the IEEE Conference on Decision Control , 22 : 2785 – 2791 .
   Google Scholar
• Lewis , FL , Yesildirek , A and Liu , K . 1996 . Multilayer neural-net robot controller with guaranteed tracking performance . IEEE Trans. Neural Networks , 7 : 388 – 399 .
   PubMed Web of Science ®Google Scholar
• McPhail , S and Pebody , M . 1997 . Autosub-1; a distributed approach to navigation and control of an autonomous underwater vehicle . Proceedings of the 7th IEE International Conference on Electronic Engineering in Oceanography . 1997 , London. pp. 16 – 22 .
   Google Scholar
• Narendra , KS and Annaswamy , AM . 1987 . A new adaptive law for robust adaptation without persistent adaptation . IEEE Trans. Autom. Control , 32 : 134 – 145 .
   Web of Science ®Google Scholar
• Narendra , KS and Parthasarathy , K . 1990 . Identification and control of dynamical systems using neural networks . IEEE Trans. Neural Networks , 1 : 4 – 27 .
   PubMedGoogle Scholar
• Sanner , RM and Slotine , JJ . 1992 . Gaussian networks for direct adaptive control . IEEE Trans. Neural Networks , 3 : 837 – 863 .
   PubMed Web of Science ®Google Scholar
• Slotine , JJ and Li , W . 1991 . Applied Nonlinear Control , Englewood Cliffs, , New Jersey : Prentice-Hall .
   Google Scholar
• Smith , SM , Rae , G and Anderson , D . 1992 . Applications of fuzzy logic to the control of an autonomous underwater vehicle . Proceedings of the 1st IEEE International Fuzzy Systems Conference , 22 : 1099 – 1106 .
   Google Scholar
• Song , F and Smith , S . 2000 . Design of sliding mode fuzzy controllers for an autonomous underwater vehicle without system model . Proceedings of the MTS/IEEE OCEANS 2000 Conference and Exhibition , 2 : 835 – 840 .
   Google Scholar
• Spangelo , I and Egeland , O . 1994 . Trajectory planning and collision avoidance for underwater vehicles using optimal control . IEEE J. Oceanic Engng , 19 : 502 – 511 .
   Google Scholar
• Størkersen , N , Kristensen , J , Indreeide , A , Seim , J and Glancy , T . 1998 . Hugin—UUV for seabed surveying . Sea Technol. , 39 : 99 – 104 .
   Google Scholar
• Trebi-Ollennu , A and White , BA . 1997 . Multiobjective fuzzy genetic algorithm optimization approach to monitor control system design . IEE Proc., Control Theory Applic. , 144 : 137 – 142 .
   Google Scholar
• Triantafyllou , MS and Grosenbaugh , MA . 1991 . Robust control for underwater vehicle systems with time delays . IEEE J. Oceanic Engng , 16 : 146 – 151 .
   Web of Science ®Google Scholar
• Venugopal , KP , Sudhakar , R and Pandya , AS . 1992 . On-line learning control of autonomous underwater vehicles using feedforward neural networks . IEEE J. Oceanic Engng , 17 : 308 – 319 .
   Google Scholar
• Wang , J and Lee , C . 2003 . Self-adaptive recurrent neuro-fuzzy control of an autonomous underwater vehicle . IEEE Trans. Robotics Automn , 19 : 283 – 295 .
   Google Scholar
• Yoerger , DR and Slotine , J . 1985 . Robust trajectory control of underwater vehicles . IEEE J. Oceanic Engng , 1 : 462 – 470 .
   Google Scholar
• Yoerger , DR , Newman , JB and Slotine , J . 1986 . Supervisory control system for the Jason ROV . IEEE J. Oceanic Engng , 11 : 392 – 399 .
   Google Scholar
• Yuh , J . 1994 . Learning control for underwater robotic vehicles . IEEE Control Syst. Mag. , 15 : 39 – 46 .
   Google Scholar