Comparison of Neural and Control Theoretic Techniques for Nonlinear Dynamic Systems

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 1994, and Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1994.

[1]  Robert M. Sanner,et al.  Gaussian Networks for Direct Adaptive Control , 1991, 1991 American Control Conference.

[2]  Weiping Li,et al.  Applied Nonlinear Control , 1991 .

[3]  Jean-Jacques E. Slotine,et al.  Adaptive sliding controller synthesis for non-linear systems , 1986 .

[4]  R. Lakshmi,et al.  Design of an intelligent control system for remotely operated vehicles , 1991, [1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering.

[5]  Abhijit S. Pandya,et al.  On-line learning control of autonomous underwater vehicles using feedforward neural networks , 1992 .

[6]  Jan M Smith,et al.  Mathematical Modeling and Digital Simulation for Engineers and Scientists , 1977 .

[7]  John G. Cooke,et al.  Incorporating thruster dynamics in the control of an underwater vehicle , 1989 .

[8]  Dana R. Yoerger,et al.  Adaptive sliding control of an experimental underwater vehicle , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[9]  Junku Yuh,et al.  A neural net controller for underwater robotic vehicles , 1990 .

[10]  Mitsuo Kawato,et al.  Feedback-error-learning neural network for trajectory control of a robotic manipulator , 1988, Neural Networks.

[11]  M. Kawato,et al.  Hierarchical neural network model for voluntary movement with application to robotics , 1988, IEEE Control Systems Magazine.

[12]  David M. DeLonga A Control System Design Technique for Nonlinear Discrete Time Systems , 1989 .

[13]  Junku Yuh,et al.  An intelligent control system for remotely operated vehicles , 1993 .

[14]  Gregory M. Vaughn Hybrid State Estimators for the Control of Remotely Operated Underwater Vehicles , 1988 .