Other_papers.bib

@inproceedings{Diop1994,
  title = {Interpolation and numerical differentiation for observer design},
  author = {Diop, S. and Grizzle, J.W. and Moraal, P.E. and Stefanopoulou, A.},
  booktitle = {American Control Conference, 1994},
  year = {1994},
  pages = {1329-1333},
  volume = {2},
  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,
  title = {An initial assessment of fuzzy logic vessel path control},
  author = {Parsons, M.G. and Chubb, A.C. and Yusong Cao and Stefanopoulou, A.G.},
  booktitle = {Autonomous Underwater Vehicle Technology, 1994. AUV '94., Proceedings of the 1994 Symposium on},
  year = {1994},
  month = {July},
  pages = {225-232},
  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,
  title = {Modeling and Control of Advanced Technology Engines},
  author = {A. G. Stefanopoulou},
  school = {University of Michigan},
  year = {1996},
  month = {February},
  file = {papers_other/thesis.pdf},
  owner = {Admin},
  timestamp = {2009.12.09}
}
@inproceedings{Wang2012,
  title = {Model and Hardware Development for Predictive Plume Control in Pipe Lines},
  author = {Boyun Wang and Anna G. Stefanopoulou and Nikolaos D. Katopodes},
  booktitle = {Proc. ASME 2012 5th Annual Dynamic Systems and Control Conference},
  year = {2012},
  number = {DSCC2012-MOVIC2012-8857},
  pages = {415-421},
  doi = {10.1115/DSCC2012-MOVIC2012-8857},
  owner = {choonhun},
  timestamp = {2015.03.04}
}
@inproceedings{Wang2013,
  title = {Model development for real time optimal control in pipe lines},
  author = {Boyun Wang and Warnock, A. and Stefanopoulou, A.G. and Katopodes, N.D.},
  booktitle = {Proc. American Control Conference (ACC)},
  year = {2013},
  pages = {5536-5541},
  doi = {10.1109/ACC.2013.6580704},
  owner = {choonhun},
  timestamp = {2015.03.04}
}