All publications by Gawthrop in 1991

[1] A. J. Asbury, P. J. Gawthrop, W. M. Gray, and G. R. Worship. Using bond graphs to represent pharmaco-physiological models. In Anaesthetic Reseach Society Cambridge Meeting, page 15, 1991. [ bib ]
[2] D.J. Ballance and P.J. Gawthrop. Control systems design via a quantitative feedback theory approach. In Proceedings of the IEE conference “Control '91”, volume 1, pages 476--480, Heriot-Watt University, Edinburgh, U.K., 1991. [ bib | .pdf ]
[3] H. Demircioglu and P. J. Gawthrop. Continuous-time generalised predictive control. Automatica, 27(1):55--74, January 1991. [ bib | http | .pdf ]
[4] P. J. Gawthrop. Bond graphs: A representation for mechatronic systems. Mechatronics, 1(2):127--156, April 1991. [ bib | http | .pdf ]
A tutorial introduction to the use of bond graphs in modelling mechatronic systems is given. Four illustrative examples of increasing complexity are given, culminating in a two link robotic arm with flexible drives. The role of symbolic algebra techniques in this context is emphasized and it is suggested that the marriage of bond graphs and symbolic techniques provides the basis of computer-based support tools for the analysis and design of mechatronic systems.

[5] P.J. Gawthrop and N.A. Marrison. Fault detection, location and identifivcation in dymanic systems. In proceedings of the European Control Conference (ECC91, volume 2, pages 1911--1917, Grenoble, 1991. [ bib ]
[6] P. J. Gawthrop, N. A. Marrison, and L. Smith. MTT: A bond graph toolbox. In Proceedings of the 5th IFAC/IMACS Symposium on Computer-aided Design of Control Systems:CADCS91, Swansea, Wales, pages 274--279, 1991. [ bib ]
[7] P. J. Gawthrop and L. Smith. An environment for industrial process design using bond graph modelling. In Proceedings of the 13th IMACS World Congress, Dublin, volume 3, pages 1091--1092, 1991. [ bib ]
[8] K Hunt and P Gawthrop. Adaptation and robustness. In Kevin Warwick, Miroslav Kárný, and Alena Halousková, editors, Advanced Methods in Adaptive Control for Industrial Applications, volume 158 of Lecture Notes in Control and Information Sciences, pages 21--30. Springer Berlin / Heidelberg, 1991. [ bib | DOI ]
Recent work has moved towards a unification of the areas of robust and adaptive control, two areas which have traditionally received separate attention. In this work we review the issues in the development of both adaptive robust control and robust adaptive control and suggest further steps towards the practical exploitation of the field.

[9] S. A. MacKenzie, P. J. Gawthrop, R. W. Jones, and J. W. Ponton. Systematic modelling of chemical processes. In IFAC symposium on Advanced Control of Chemical Processes, ADCHEM'91. Toulouse, France., 1991. [ bib ]
[10] Y. A. Mather, D. W. Roberts, and P. J. Gawthrop. Distributed real-time control using TONIC. In Proceedings of the Third International Conference on Applications of Transputers, Glasgow, Scotland, volume 1, pages 192--197, 1991. [ bib ]
[11] J. W. Ponton and P. J. Gawthrop. Systematic construction of dynamic models for phase equilibrium processes. Computers chem Engng, 15(12):803--808, 1991. [ bib | http | .pdf ]
A systematic approach to constructing dynamic models involving phase equilibrium is presented.

The view appears to be widely held that the dynamic modelling of VLE systems invariably leads to an "index problem". We show that this in general is not the case if an appropriate model formulation is used. This is provided by our systematic procedure.

Index problems do in general occur when a state variable is constrained by an implied control system. Some properties of such systems are discussed and it is shown that it may not in practice be useful to attempt the solution of intractable index problems, as these may differ substantially from the behaviour of an achievable control system.

[12] P. J. Gawthrop. Metamodelling of the AA300 robot. Part I: Ideal 2D model. Control Group Research Report R-91/1, Department of Mechanical Engineering, University of Glasgow, 1991. [ bib ]
[13] P. J. Gawthrop. Inverse systems: Bond graph, feedback and descriptor representations. Control Group Research Report R-91/11, Department of Mechanical Engineering, University of Glasgow, 1991. [ bib ]
[14] P. J. Gawthrop. Metamodelling of the AA300 robot. Part II: Compliant drive models. Control Group Research Report R-91/15, Department of Mechanical Engineering, University of Glasgow, 1991. [ bib ]
[15] P. J. Gawthrop, A. R. Whittaker, J. Howell, P. J. Larcombe, D. W. Roberts, and M. Abderrahim. Metamodelling of robots: 3rd progress review report. Control Group Research Report R-91/18, Department of Mechanical Engineering, University of Glasgow, 1991. [ bib ]
[16] P. J. Gawthrop, J. Jezek, R. W. Jones, and I. Sroka. The identification of partially-known systems. Control Group Research Report R-91/23, Department of Mechanical Engineering, University of Glasgow, 1991. [ bib ]
[17] P. J. Gawthrop, A. R. Whittaker, J. Howell, P. J. Larcombe, D. W. Roberts, and M. Abderrahim. Metamodelling of robots: 2nd progress review report. Control Group Research Report R-91/4, Department of Mechanical Engineering, University of Glasgow, 1991. [ bib ]
[18] P. J. Gawthrop. Model-based observer control: An introduction. Control Group Research Report R-91/9, Department of Mechanical Engineering, University of Glasgow, 1991. [ bib ]
[19] J. B. Roberts, A. Kountzeris, and P. J. Gawthrop. Parametric identification techniques for roll decrement data. Int. Shipbuilding Progr., 38(415):271--293, 1991. [ bib ]
[20] D. Sbarbaro, K. J. Hunt, and P. J. Gawthrop. Connectionist representations and control structures. In Proceedings IEE Colloquium on Neural Networks for Systems, London, England, 1991. [ bib | .pdf ]
[21] D. Sbarbaro, K. J. Hunt, and P. J. Gawthrop. Designing non-linear controllers using connectionist networks. In Proceedings IMACS World Congress on Computation and Applied Mathematics, Dublin, Ireland, 1991. [ bib ]

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