| [1] |
D. J. Ballance and P. J. Gawthrop.
QFT, the UHB, and the choice of the template nominal point.
In Constantine N. Houpis and Phillip R. Chandler, editors,
Proceedings of the Symposium on Quantitative Feedback Theory, Dayton, Ohio,
U.S.A., 1992.
[ bib ]
Keywords: Quantitative Feedback Theory; Robust Control |
| [2] |
H. Demircioglu and P. J. Gawthrop.
Multivariable continuous-time generalised predictive control.
Automatica, 28(4):697--713, 1992.
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DOI ]
Keywords: |
| [3] |
P. J. Gawthrop.
Design of mechatronic systems using bond graphs.
In Proceedings of the IMechE Conference on: Mechatronics --- The
Integration of Engineering Design, Dundee, 1992.
[ bib ]
Keywords: bond graphs, robotics |
| [4] |
P. J. Gawthrop and R. W. Jones.
Bond-graph-based adaptive control.
In Preprints of the 4rd IFAC workshop on Adaptive Systems in
Control and Signal Processing, Grenoble, France, 1992.
[ bib ]
Keywords: |
| [5] |
P. J. Gawthrop, R. W. Jones, and S. A. MacKenzie.
Bond graph based control: A process engineering example.
In Proceedings of the 1992 American Control Conference,
Chicago, Illinois, U.S.A., 1992.
[ bib ]
Keywords: |
| [6] |
P. J. Gawthrop, R. W. Jones, and S. A. MacKenzie.
Identification of partially-known systems.
Automatica, 28(4):831--836, 1992.
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DOI |
.pdf ]
The concepts of partially-known system identification are introduced and the advantages of a method whereby process information can be utilized in a linear transfer function representation of the system are highlighted and discussed. In particular, an algorithm for identifying a single unknown physical system parameter associated with a linear system is given. It is assumed that the system is polynomial (as opposed to linear) in the physical parameter. The Bond graph representation is used as the basis for deriving a system-dependent algorithm for each partially-known system. The method is illustrated by simulated examples. Keywords: |
| [7] |
P. J. Gawthrop and L. Smith.
Causal augmentation of bond graphs with algebraic loops.
Journal of the Franklin Institute, 329(2):291--303, 1992.
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DOI |
.pdf ]
An algorithm for the causal augmentation of bond graphs with algebraic loops is given. Unlike previous algorithms, this involves bond graph rather than equation manipulation. A number of illustrative examples are given. Keywords: 11 |
| [8] |
K. J. Hunt, R. Zbikowski, D. Sbarbaro, and P. J. Gawthrop.
Neural networks for control systems---a survey.
Automatica, 28(6):1083--1112, 1992.
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DOI |
.pdf ]
This paper focuses on the promise of artificial neural networks in the realm of modelling, identification and control of nonlinear systems. The basic ideas and techniques of artificial neural networks are presented in language and notation familiar to control engineers. Applications of a variety of neural network architectures in control are surveyed. We explore the links between the fields of control science and neural networks in a unified presentation and identify key areas for future research. Keywords: |
| [9] |
R. W. Jones and P. J Gawthrop.
Nonlinear inferential control using a model-based observer.
In IFAC workshop on Interactions between Process Design and
Process Control, 1992.
[ bib ]
Keywords: |
| [10] | O.F. Qi, P.J. Gawthrop, and N.R.L. Maccallum. Model-based observer: a gas turbine engine case study. In Control Applications, 1992., First IEEE Conference on, volume 2, pages 877--882, September 1992. [ bib | .pdf ] |
| [11] | O.F. Qi, P.J. Gawthrop, and N.R.L. Maccallum. Meeting the performance requirements of a single-spool gas turbine engine using a gain scheduled controller. In Intelligent Control, 1992., Proceedings of the 1992 IEEE International Symposium on, pages 385--390, 1992. [ bib | .pdf ] |
| [12] |
O.F. Qi, N.R.L. Maccallum, and P.J. Gawthrop.
Improving dynamic response of a single-spool gas turbine engine using
a nonlinear contoller.
In ASME 1992 International Gas Turbine and Aeroengine Congress
and Exposition, Cologne, Germany, 1992. ASME.
[ bib ]
This paper describes the design of a closed-loop nonlinear controller to improve the dynamic response of a single-spool gas turbine engine. The nonlinear controller is obtained by scheduling the gains of multivariable compensators as a function of engine non-dimensional shaft speed. The compensators, whose outputs are fuel flow and nozzle area, are designed using optimal control theory based on a set of linear models generated from a nonlinear engine simulation. Investigations are also made into developing simple algorithms to obtain an analytical expression for the compressor given its characteristic. The detailed process of developing a nonlinear simulation model for the engine is also described. The open-loop fuel controller is studied using the digital simulation.
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| [13] | P. J. Gawthrop and D. J. Ballance. Design of self-tuning controllers using quantitative feedback theory: Final report on grant GR/F 01260. Control Group Research Report R-92/10, Department of Mechanical Engineering, University of Glasgow, 1992. [ bib ] |
| [14] | P. J. Gawthrop, J. Howell, and A. R. Whittaker. Metamodelling of robots, final report. Control Group Research Report R-92/14, Department of Mechanical Engineering, University of Glasgow, 1992. [ bib ] |
| [15] | P. J. Gawthrop. Feedback control of multi-drug anaesthesia using quantitative and qualitative measurements: Final report. Control Group Research Report R-92/15, Department of Mechanical Engineering, University of Glasgow, 1992. [ bib ] |
| [16] | P. J. Gawthrop and R. W. Jones. Continuous-time grey-box model identification. Control Group Research Report R-92/5, Department of Mechanical Engineering, University of Glasgow, 1992. [ bib ] |
| [17] | P. J. Gawthrop. Modelling robots in 3D. Control Group Research Report R-92/9, Department of Mechanical Engineering, University of Glasgow, 1992. [ bib ] |
| [18] |
G. R. Worship, A. J. Asbury, P. J. Gawthrop, and W. M. Gray.
Towards automatic clinical sign interpretation in anaesthesia.
In Proceedings of the 14th Conference of the IEEE Engineering
in Medicine and Biology Society, pages 2278--2279, Paris, France, 1992.
[ bib |
.pdf ]
Keywords: anaesthesia, estimation |
| [19] |
G. R. Worship, P. J. Gawthrop, A. J. Asbury, and W. M. Gray.
On-line estimation of cardiac output and tissue tension during
anaesthesia.
In Proceedings of the 14th Conference of the IEEE Engineering
in Medicine and Biology Society, pages 2272--2273, Paris, France, 1992.
[ bib |
.pdf ]
Keywords: anaesthesia, estimation |
| [20] |
R. Zbikowski and P. J. Gawthrop.
A Survey of Neural Networks for Control.
In K. Warwick, G. R. Irwin, and K. J. Hunt, editors, Neural
Networks for Control and Systems: Principles and Applications, Control
Engineering Series, pages 31--50. Peter Peregrinus, 1992.
[ bib |
DOI ]
Keywords: |
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