| [1] |
W.-H. Chen, D. J. Ballance, and P. J. Gawthrop.
Optimal control of SISO nonlinear systems: A predictive control
approach.
In Proceedings of the UKACC conference “Control 2000”,
Cambridge, U.K., 2000.
[ bib |
.pdf ]
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| [2] |
Peter J. Gawthrop.
Estimating physical parameters of nonlinear systems using bond graph
models.
In Proceedings of the 12th IFAC Symposium on System
Identification (SYSID 2000), Santa Barbara, California, USA, June 2000.
[ bib |
.pdf ]
An approach to the estimation of the physical parameters of nonlinear systems modelled by bond graphs is presented and illustrative examples given.
|
| [3] |
Peter J. Gawthrop.
Symbolic generation of real-time simulation code for large stiff
nonlinear systems.
In Proceedings of the UKACC conference “Control 2000”,
Cambridge, U.K., 2000.
[ bib |
.pdf ]
Real-time simulation requires fast stable integration algorithms with a fixed sample interval which can be chosen without loss of stability. A symbolic approach to generating system-dependent integration algorithms is proposed and evaluated
|
| [4] |
Peter J Gawthrop.
Linear predictive pole-placement control: Practical issues.
In Proceedings of the 39th IEEE Conference on Decision and
Control, pages 160--165, Sydney, Australia, December 2000. IEEE.
[ bib |
.pdf ]
Some of the theoretical properties of predictive-pole-placement control (a form of model-based predictive control) are given a practical interpretation and corresponding design rules suggested.
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| [5] | Peter J. Gawthrop and Eric Ronco. A sensitivity bond graph approach to estimation and control of mechatronic systems. In Proceedings of the 1st IFAC Conference on Mechatronic Systems, Darmstadt, September 2000. [ bib | .pdf ] |
| [6] |
Peter J. Gawthrop and Liuping Wang.
Transfer function and frequency response estimation using resonant
filters.
In Proceedings of the 12th IFAC Symposium on System
Identification (SYSID 2000), Santa Barbara, California, USA, June 2000.
[ bib |
.pdf ]
A resonant filter approach is proposed for direct identification of continuous-time transfer functions from input-output data when the input contains periodic components. The asymptotic properties of the method are analysed; in particular the noise reduction properties are emphasised. Some illustrative simulations are provided.
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| [7] | David Palmer, Donald J. Ballance, Peter J. Gawthrop, Kenneth Strain, and Norna A. Robertson. Modelling gravitational wave detector suspensions using bond graphs. In I Troch and F. Breitenecker, editors, Proceedings of the 3rd IMACS Symposium on Mathematical Modelling, pages 739--742, Vienna, Austria, February 2000. ARGESIM. [ bib ] |
| [8] |
David Palmer, Donald J. Ballance, and Peter J. Gawthrop.
Modelling gravitational wave detector suspensions using bond graphs
and symbolic computation.
In Proceedings of the UKACC conference “Control 2000”,
Cambridge, U.K., 2000.
[ bib |
.pdf ]
Real-time simulation requires fast stable integration algorithms with a fixed sample interval which can be chosen without loss of stability. A symbolic approach to generating system-dependent integration algorithms is proposed and evaluated.
|
| [9] |
Eric Ronco and Peter J. Gawthrop.
Symbolic quasi-Newton optimisation for system identification.
In Proceedings of the UKACC conference “Control 2000”,
Cambridge, U.K., 2000.
[ bib |
.pdf ]
A new approach to time-critical optimisation in the context of identification and control is presented. Symbolic algebra is used to provide the equations for computing the sensitivity functions of a system relevant to provide rapid computation of gradient information. It is verified that the resultant gradient-based optimisation is substantially faster than the corresponding non-gradient method.
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