conferences2006.bib

@inproceedings{GawWan06a,
  title = {Estimation of Bounded Physical Parameters},
  author = {P.J. Gawthrop and L. Wang},
  crossref = {SYSID06},
  abstract = {A method for the constrained estimation of the physical system
  parameters of linear systems from measured data is described which
  uses a two-stage procedure: step response estimation via the
  frequency-sampled filter approach followed by a non-quadratic
  bounded optimisation to obtain the physical parameters.
  The method is illustrated using simulated data and evaluated using
  experimental data.
}
}

@inproceedings{WanGaw06,
  title = {Data compression for estimation of the
                  physical parameters of the {SYSID'06}
                  benchmark},
  author = {L. Wang and P.J. Gawthrop},
  crossref = {SYSID06},
  abstract = {A two-stage identification procedure is applied to the SYSID'06 
              benchmark example.}
}

@inproceedings{GawMcG06,
  author = {P.J. Gawthrop and E. McGookin},
  title = {Using LEGO in Control Education},
  booktitle = {7th IFAC Symposium on Advances in Control Education},
  year = 2006,
  editor = {S. Dormido and F. Morilla and J. Sanchez},
  address = {Madrid},
  month = {June},
  organization = {IFAC},
  note = {Plenary address},
  abstract = {Experiences at Glasgow University in using LEGO Mindstorms for
    Control Education are described and implementation details given.},
  pdf = {../../Publications/csc2006/GawMcG06.pdf}
}

@inproceedings{TruWanGaw06,
  author = {Q. Truong and L.Wang and P.J. Gawthrop},
  title = {Intermittent Model Predictive Control of an Autonomous Underwater Vehicle},
  booktitle = {Proceedings of the Ninth International Conference on Control, Automation, Robotics and Vision},
  year = 2006,
  address = {Singapore},
  month = {December},
  abstract = {The autonomous underwater vehicles (AUVs) have been developed over
three decades for potential uses in scientific, commercial,
environmental, and military purposes. The improvement of the
computer technology has allowed the expansion of control
algorithms into untethered AUV's motions. For these reasons, the
paper attempts to derive the method to control the dynamic motions
of the vehicle. The nonlinear model of the AUVs is established in
six degree of freedom and converts into well known state space
model. The model predictive control (MPC) algorithm, using
orthogonal functions, is developed to intermittent MPC to
manipulate rudder and stern angle signals. The new method allows
the MPC to work under strick conditions. An active set quadratic
programming procedure is also implemented into the MPC to handle
the constrained problems of the dynamic systems
}
}

@proceedings{SYSID06,
  title = {14th IFAC (International Federation of Automatic Control) 
                  Symposium on System Identification, SYSID 2006},
  year = 2006,
  key = {SYSID 2006},
  booktitle = {Proceedings of the 14th IFAC Symposium on System Identification},
  address = {Newcastle, New South Wales, Australia},
  month = {March}
}

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