| [1] | P. J. Gawthrop. Some properties of discrete adaptive controllers. In C. J. Harris and S. A. Billings, editors, Self-tuning and adaptive control --- theory and applications. Peter Peregrinus, 1981. [ bib ] |
| [2] | P. J. Gawthrop. Linear prediction and parameter estimation. In N. B. Jones, editor, Digital Signal Processing. Peter Peregrinus, 1982. [ bib ] |
| [3] | P. J. Gawthrop. An introduction to discrete-time self-tuning control. In K. R. Godfrey and R. P. Jones, editors, Signal processing for control. Springer, 1986. [ bib ] |
| [4] | P. J. Gawthrop. Hybrid self-tuning control. In Singh, editor, Encyclopedia of Systems and Control. Pergamon, 1987. [ bib ] |
| [5] | P. J. Gawthrop. Input-output analysis of self-tuning controllers. In Singh, editor, Encyclopedia of Systems and Control. Pergamon, 1987. [ bib ] |
| [6] | P. J. Gawthrop. An introduction to continuous-time self-tuning control. In J. O'Reilly, editor, Multivariable control for industrial applications. Peter Perigrinus, 1987. [ bib ] |
| [7] | P. J. Gawthrop. Distributed computer control algorithms. In Computer Control --- SERC vacation school lecture notes. Inst. Measurement and Control, London, 1987. [ bib ] |
| [8] | P. J. Gawthrop. Implementation of continuous-time self-tuning controllers. In K. Warwick, editor, Implementation of self-tuning controllers. Peter Perigrinus, 1988. [ bib ] |
| [9] |
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. |
| [10] |
P. J. Gawthrop.
Symbolic modelling in control.
In D. A. Linkens, editor, CAD for Control Systems, pages
127--146. Dekker, 1993.
[ bib ]
Keywords: Automatic control; Computer-Aided Design |
| [11] | P. J. Gawthrop. Continuous-time local model networks. In R. Zbikowski and K. J. Hunt, editors, Neural Adaptive Control Technology, World Scientific Series in Robotics and Intelligent Systems, Vol. 15, pages 41--70. World Scientific, Singapore, 1996. [ bib ] |
| [12] | T. A. Johansen, K. J. Hunt, and P. J. Gawthrop. Transient performance, robustness and off-equilibrium linearization in fuzzy gain scheduled control. In D. Driankov and R. Palm, editors, Advances in Fuzzy Control, chapter 13, pages 357--375. Physica-Verlag, Heidelberg, 1998. [ bib ] |
| [13] | P. J. Gawthrop and D. J. Ballance. Symbolic computation for manupulation of hierachical bond graphs. In Neil Munro, editor, Symbolic methods in control systems analysis and design, number 56 in Control engineering series, chapter 2, pages 23--51. IEE, Stevenage, UK, 1999. [ bib ] |
| [14] | P. J. Gawthrop and E. Ronco. Local model networks and self-tuning predictive control. In S. G. Tzafestas, editor, Soft Computing in Systems and Control Technology, pages 99--113. World Scientific, 1999. [ bib ] |
| [15] | Peter J Gawthrop. Self-tuning control. In Heinz Unbehauen, editor, Encyclopedia of Life Support Systems (EOLSS), chapter 6.43. Control Systems, Robotics and Automation. UNESCO, 2004. [ bib | http | .pdf ] |
| [16] | Peter J Gawthrop. Minimum-variance control. In Heinz Unbehauen, editor, Encyclopedia of Life Support Systems (EOLSS), chapter 6.43. Control Systems, Robotics and Automation. UNESCO, 2004. [ bib | http | .pdf ] |
| [17] | David Wagg, Simon Neild, and Peter Gawthrop. Real-time testing with dynamic substructuring. In Oreste S. Bursi and David Wagg, editors, Modern testing techniques for structural systems, volume 502 of CISM Courses and Lectures, chapter 7, pages 293--342. Springer, 2008. [ bib ] |
| [18] | Liuping Wang and Peter J Gawthrop. Estimation of the parameters of continuous-time systems using data compression. In H. Garnier and L.Wang, editors, Identification of continuous-time models from sampled data, volume XXVI of Advances in Industrial Control, chapter 6, pages 189--214. Springer, 2008. [ bib | DOI ] |
| [19] |
P.J. Gawthrop and F. Rizwi.
Coaxially coupled inverted pendula: Bond graph-based modelling,
design and control.
In Wolfgang Borutzky, editor, Bond Graph Modelling of
Engineering Systems, pages 179--194. Springer New York, 2011.
[ bib |
DOI ]
A bond graph method is used to examine qualitative aspects of a class of unstable under-actuated mechanical systems. It is shown that torque actuation leads to an unstabilisable system, whereas velocity actuation gives a controllable system which has, however, a right-half plane zero. The fundamental limitations theory of feedback control when a system has a right-half plane zero and a right-half plane pole is used to evaluate the desirable physical properties of coaxially coupled inverted pendula. An experimental system which approximates such a system is used to illustrate and validate the approach. |
| [20] |
Dae Keun Yoo, Liuping Wang, and Peter Gawthrop.
Predictive control of a three-phase regenerative pwm converter.
In Liuping Wang and Hugues Garnier, editors, System
Identification, Environmental Modelling, and Control System Design, pages
599--614. Springer London, 2012.
[ bib |
DOI ]
One of the key components in a renewable energy system such as wind energy generator is a three-phase regenerative PWM converter. This component is nonlinear and time-varying by nature. However, with the classical synchronous frame transformation, the nonlinear model is linearized to obtain a continuous-time state-space model. Based on the linearized model, in this paper, a continuous-time model predictive control system (Laguerre function based) for a three-phase regenerative PWM converter is designed and implemented on a laboratory scaled test-bed that was built by the authors. In particular, a prescribed degree of stability is applied to provide a simple tuning parameter to the closed-loop performance. |
| [21] |
Peter Gawthrop, Henrik Gollee, and Ian Loram.
Intermittent control in man and machine.
In Marek Miskowicz, editor, Event-Based Control and Signal
Processing, Embedded Systems, chapter 14, pages 281--350. CRC Press, Nov
2015.
Available at arXiv:1407.3543.
[ bib |
DOI |
arXiv ]
It is now over 70 years since Kenneth J. Craik postulated that human control systems behave in an intermittent, rather than a continuous, fashion. This chapter provides a mathematical model of event-driven intermittent control, examines how this model explains some phenomena related to human motion control, and presents some experimental evidence for intermittency. Some new material related to constrained multivariable intermittent control is presented in the context of human standing, and some new material related to adaptive intermittent control is presented in the context of human balance and reaching. We believe that the ideas presented here in a physiological context will also prove to be useful in an engineering context. |
| [22] |
Peter J. Gawthrop.
Bond-graph modelling and causal analysis of biomolecular systems.
In Wolfgang Borutzky, editor, Bond Graphs for Modelling, Control
and Fault Diagnosis of Engineering Systems, pages 587--623. Springer
International Publishing, Berlin, 2017.
[ bib |
DOI ]
Bond graph modelling of the biomolecular systems of living organisms is introduced. Molecular species are represented by non-linear C components and reactions by non-linear two-port R components. As living systems are neither at thermodynamic equilibrium nor closed, open and non-equilibrium systems are considered and illustrated using examples of biomolecular systems. Open systems are modelled using chemostats: chemical species with fixed concentration. In addition to their role in ensuring that models are energetically correct, bond graphs provide a powerful and natural way of representing and analysing causality. Causality is used in this chapter to examine the properties of the junction structures of biomolecular systems and how they relate to biomolecular concepts. |
| [23] | Peter Gawthrop, Henrik Gollee, Martin Lakie, and Ian D. Loram. Intermittent control of movement and balance. In Dieter Jaeger and Ranu Jung, editors, Encyclopedia of Computational Neuroscience, pages 1--6. Springer New York, New York, NY, 2020. [ bib | DOI ] |
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