John Ringwood | National University of Ireland, Maynooth (original) (raw)
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Papers by John Ringwood
The body contains a bewildering array of regulatory systems which maintain homeostasis. There is ... more The body contains a bewildering array of regulatory systems which maintain homeostasis. There is considerable difficulty in isolating a single control loop for analysis, due to the interactions with other systems/loops. One important such regulatory loop is the baroreflex, and baroreflex sensitivity is a characteristic open-loop parameter which can help us to assess the health of the baroreflex. A diverse range of methods have been proposed to determine baroreflex sensitivity from experimental data. Unfortunately, there appears to be little consistency of result among the different methods and some explanation can be found in the nature of the problem: In most cases, an attempt is being made to determine open-loop measures from a system operating in closed-loop, subject to poor excitation. In this paper we propose a strict procedure, based on a rigourous mathematical framework, from which reliable estimates of baroreflex sensitivity can be obtained. A comparison with other methods for baroreflex sensitivity estimation, using the EuroBaVar data set, is performed.
IEEE Transactions on Sustainable Energy, 2015
2014 IEEE Conference on Control Applications (CCA), 2014
IEEE Transactions on Semiconductor Manufacturing, 2010
2012 IEEE International Conference on Control Applications, 2012
2009 3rd International Conference on Signals, Circuits and Systems (SCS), 2009
2009 3rd International Conference on Signals, Circuits and Systems (SCS), 2009
2010 Conference on Control and Fault-Tolerant Systems (SysTol), 2010
Prognostics is the ability to predict the remaining useful life of a specific system, or componen... more Prognostics is the ability to predict the remaining useful life of a specific system, or component, and represents a key enabler of any effective condition-based-maintenance strategy. Among methods for performing prognostics such as regression and artificial neural networks, particle filters are emerging as a technique with considerable potential. Particle filters employ both a state dynamic model and a measurement model,
Proceedings of the 19th IFAC World Congress, 2014
II Modelling Plant Growth, Environmental Control and Farm Management in Protected Cultivation, 1998
Irish Signals and Systems Conference 2004, 2004
2012 IEEE International Conference on Control Applications, 2012
Proceedings of the 18th IFAC World Congress, 2011
"Plasma etching is a semiconductor manufacturing process during whic... more "Plasma etching is a semiconductor manufacturing process during which material is removed from the surface of silicon wafers using gases in plasma form. A host of chemical and electrical complexities make the etch process notoriously difficult to model and troublesome to control. This work demonstrates the use of a real-time model predictive control scheme to maintain a consistent plasma electron density in the presence of disturbances to the ground path of the chamber. The electron density is estimated in real time using a virtual metrology model based on plasma impedance measurements. Recursive least squares is used to update the controller model parameters in real time to achieve satisfactory control of electron density over a wide operating space."
IET Irish Signals and Systems Conference (ISSC 2010), 2010
The body contains a bewildering array of regulatory systems which maintain homeostasis. There is ... more The body contains a bewildering array of regulatory systems which maintain homeostasis. There is considerable difficulty in isolating a single control loop for analysis, due to the interactions with other systems/loops. One important such regulatory loop is the baroreflex, and baroreflex sensitivity is a characteristic open-loop parameter which can help us to assess the health of the baroreflex. A diverse range of methods have been proposed to determine baroreflex sensitivity from experimental data. Unfortunately, there appears to be little consistency of result among the different methods and some explanation can be found in the nature of the problem: In most cases, an attempt is being made to determine open-loop measures from a system operating in closed-loop, subject to poor excitation. In this paper we propose a strict procedure, based on a rigourous mathematical framework, from which reliable estimates of baroreflex sensitivity can be obtained. A comparison with other methods for baroreflex sensitivity estimation, using the EuroBaVar data set, is performed.
IEEE Transactions on Sustainable Energy, 2015
2014 IEEE Conference on Control Applications (CCA), 2014
IEEE Transactions on Semiconductor Manufacturing, 2010
2012 IEEE International Conference on Control Applications, 2012
2009 3rd International Conference on Signals, Circuits and Systems (SCS), 2009
2009 3rd International Conference on Signals, Circuits and Systems (SCS), 2009
2010 Conference on Control and Fault-Tolerant Systems (SysTol), 2010
Prognostics is the ability to predict the remaining useful life of a specific system, or componen... more Prognostics is the ability to predict the remaining useful life of a specific system, or component, and represents a key enabler of any effective condition-based-maintenance strategy. Among methods for performing prognostics such as regression and artificial neural networks, particle filters are emerging as a technique with considerable potential. Particle filters employ both a state dynamic model and a measurement model,
Proceedings of the 19th IFAC World Congress, 2014
II Modelling Plant Growth, Environmental Control and Farm Management in Protected Cultivation, 1998
Irish Signals and Systems Conference 2004, 2004
2012 IEEE International Conference on Control Applications, 2012
Proceedings of the 18th IFAC World Congress, 2011
"Plasma etching is a semiconductor manufacturing process during whic... more "Plasma etching is a semiconductor manufacturing process during which material is removed from the surface of silicon wafers using gases in plasma form. A host of chemical and electrical complexities make the etch process notoriously difficult to model and troublesome to control. This work demonstrates the use of a real-time model predictive control scheme to maintain a consistent plasma electron density in the presence of disturbances to the ground path of the chamber. The electron density is estimated in real time using a virtual metrology model based on plasma impedance measurements. Recursive least squares is used to update the controller model parameters in real time to achieve satisfactory control of electron density over a wide operating space."
IET Irish Signals and Systems Conference (ISSC 2010), 2010