Other_papers.bib

@inproceedings{Diop1994,
  author = {Diop, S. and Grizzle, J.W. and Moraal, P.E. and Stefanopoulou, A.},
  title = {Interpolation and numerical differentiation for observer design},
  booktitle = {American Control Conference, 1994},
  year = {1994},
  volume = {2},
  pages = { 1329-1333 vol.2},
  month = {June-1 July},
  abstract = { This paper explores interpolation and numerical differentiation as
	a basis for constructing a new approach to the design of nonlinear
	observers.},
  doi = {10.1109/ACC.1994.752275},
  file = {papers_other/interp_num_diff.pdf},
  keywords = { differentiation, interpolation, nonlinear systems, numerical analysis,
	observers interpolation, nonlinear observers, numerical differentiation,
	observer design}
}
@inproceedings{Parsons1994,
  author = {Parsons, M.G. and Chubb, A.C. and Yusong Cao and Stefanopoulou, A.G.},
  title = {An initial assessment of fuzzy logic vessel path control},
  booktitle = {Autonomous Underwater Vehicle Technology, 1994. AUV '94., Proceedings
	of the 1994 Symposium on},
  year = {1994},
  pages = {225-232},
  month = {Jul},
  abstract = {A fuzzy logic controller for ship path control in restricted waters
	is developed and evaluated. The controller uses inputs of heading,
	yaw rate, and lateral offset from the nominal track. A Kalman filter
	is used to produce the input state variables from noisy measurements.
	The controller produces a commanded rudder angle. Input variable
	fuzzification, fuzzy associative memory rules, and output set defuzzification
	are described. The controller is benchmarked against a conventional
	linear quadratic Gaussian (LQG) optimal controller and Kalman filter
	control systems. An initial startup transient and regulator control
	performance with an external hydrodynamic disturbance are evaluated.
	The fuzzy controller yields competitive performance},
  doi = {10.1109/AUV.1994.518629},
  keywords = { Kalman filters, associative processing, fuzzy control, navigation,
	performance evaluation, ships Kalman filter, commanded rudder angle,
	fuzzy associative memory rules, fuzzy logic, hydrodynamic disturbance,
	input state variables, input variable fuzzification, lateral offset,
	output set defuzzification, ship, vessel path control, yaw rate}
}
@phdthesis{Thesis,
  author = {A. G. Stefanopoulou},
  title = {Modeling and Control of Advanced Technology Engines},
  school = {University of Michigan},
  year = {1996},
  month = {Feb.},
  file = {papers_other/thesis.pdf},
  owner = {Admin},
  timestamp = {2009.12.09}
}