Gradient and Hamiltonian Dynamics Applied to Learning in Neural Networks. - James W. Howse; Chaouki T. Abdallah; Gregory L. Heileman (NIPS, 1995)

A learning algorithm for applying synthesized stable dynamics to system identification. - James W. Howse; Chaouki T. Abdallah; Gregory L. Heileman (Neural Networks, 1998)

Lagrangian solution methods for nonlinear model predictive control. - Kenneth R. Muske; James W. Howse; Glen A. Hansen (ACC, 2000)

Comparison of recursive estimation techniques for position tracking radioactive sources. - Kenneth R. Muske; James W. Howse (ACC, 2001)

Product property monitoring for a batch polymerization reaction system. - Kenneth R. Muske; James W. Howse; Don R. Hush (ACC, 2001)

Least squares estimation techniques for position tracking of radioactive sources. - James W. Howse; Lawrence O. Ticknor; Kenneth R. Muske (Autom., 2001)