| [1] |
P.J. Gawthrop and E. McGookin.
Using lego in control education.
In S. Dormido, F. Morilla, and J. Sanchez, editors, 7th IFAC
Symposium on Advances in Control Education, Madrid, June 2006. IFAC.
Plenary address.
[ bib |
.pdf ]
Experiences at Glasgow University in using LEGO Mindstorms for Control Education are described and implementation details given.
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| [2] |
P.J. Gawthrop and L. Wang.
Estimation of bounded physical parameters.
In Proceedings of the 14th IFAC Symposium on System
Identification, Newcastle, New South Wales, Australia, March 2006.
[ bib ]
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.
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| [3] |
Q. Truong, L.Wang, and P.J. Gawthrop.
Intermittent model predictive control of an autonomous underwater
vehicle.
In Proceedings of the Ninth International Conference on Control,
Automation, Robotics and Vision, Singapore, December 2006.
[ bib ]
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
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| [4] |
L. Wang and P.J. Gawthrop.
Data compression for estimation of the physical parameters of the
SYSID'06 benchmark.
In Proceedings of the 14th IFAC Symposium on System
Identification, Newcastle, New South Wales, Australia, March 2006.
[ bib ]
A two-stage identification procedure is applied to the SYSID'06 benchmark example.
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