Dr Seán Doherty

Electronic Engineering

Lecturer

Engineering Building
E3.09
(01) 708 6198

Biography

Peer Reviewed Journals

  Year Publication
2005 'A resource management tool for implementing strategic direction in an academic department'
Ringwood, J. Devitt, F., Doherty, S., Farrell, R., Lawlor R., McLoone, S.C., McLoone, S.F., Rogers, A., Villing, R. and Ward, T. (2005) 'A resource management tool for implementing strategic direction in an academic department'. JOURNAL OF HIGHER EDUCATION POLICY AND MANAGEMENT, 27 :273-283 [IR Link] [Details]
1997 'Experiment Design Considerations for Non-Linear identification using Neural Networks'
Doherty, S.K., Gomm, J.B. and Willians, D. (1997) 'Experiment Design Considerations for Non-Linear identification using Neural Networks'. COMPUTERS & CHEMICAL ENGINEERING, 21 :327-346 [IR Link] [Details]
1997 'Neural network applications in process modelling and predictive control'
Gomm, J.B., Willians, D., Evans, J.T. and Doherty, S.K. (1997) 'Neural network applications in process modelling and predictive control'. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 19 :175-184 [Details]
1996 'Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding'
Gomm, J.B., Willians, D., Evans, J.T., Doherty, S.K. and Lisboa P.J.G. (1996) 'Enhancing the non-linear modelling capabilities of MLP neural networks using spread encoding'. FUZZY SETS AND SYSTEMS, 79 :113-126 [IR Link] [Details]

Conference Publications

  Year Publication
2005 Nonlinear control design for a simple plasma process
Iordanov, P., Ringwood, J.V. and Doherty, S.K. (2005) Nonlinear control design for a simple plasma process 44th IEEE Conference on Decision and Control and the European Control Conference, 2005 , pp.2380-2385 [IR Link] [Details]
2005 Control problem classification for a plasma process
Iordanov, P., Ringwood, J.V. and Doherty, S. (2005) Control problem classification for a plasma process Proc. 16th IFAC World Congress [IR Link] [Details]
1996 Control of pH in-line using a neural predictive strategy
Gomm, J.B., Doherty, S.K. and Willians, D. (1996) Control of pH in-line using a neural predictive strategy Proc. UKACC Int. Conf. Control [IR Link] [Details]
1995 Representing nonlinear process dynamics and variable deadtime using an artificial neural network
Doherty, S.K., Gomm, J.B. and Willians, D. (1995) Representing nonlinear process dynamics and variable deadtime using an artificial neural network Proc. 6th Irish DSP and Control Colloquium , pp.73-80 [Details]
1995 Neural network Identification of an in-line pH process
Doherty, S.K., Gomm, J.B. and Willians, D. (1995) Neural network Identification of an in-line pH process Proc. DYCORD+ '95, 4th IFAC Symposium on Dynamics and Control of Chemical Reactors, Distillation Columns, and Batch processes , pp.209-214 [Details]
1995 Neural Network Identification and Predictive Control of an in-line pH Process
Doherty, S.K., Gomm, J.B. and Willians, D. (1995) Neural Network Identification and Predictive Control of an in-line pH Process 4th I.Chem.E. Conf. on Advances in Process Control 4 , pp.57-64 [Details]
1994 Design issues in Applying Neural Networks to model highly non-linear processes
Doherty, S.K., Gomm, J.B. and Willians, D. (1994) Design issues in Applying Neural Networks to model highly non-linear processes IEE Control '94 Conference , pp.1478-1483 [IR Link] [Details]
1994 Modelling a highly non-linear process using a neural network
Doherty, S.K., Gomm, J.B. and Willians, D. (1994) Modelling a highly non-linear process using a neural network Proc. 5th Irish DSP and Control Colloquium , pp.45-52 [Details]
1994 Practical Considerations on the Implementation of Neural Networks for Non-linear System Identification
Doherty, S.K., Gomm, J.B. and Willians, D. (1994) Practical Considerations on the Implementation of Neural Networks for Non-linear System Identification MACS, Int. Symp. on Signal Processing, Robotics, and Neural Networks, SPRANN , pp.564-567 [Details]

Thesis

  Year Publication
1999 Control of pH in chemical processes using artificial neural networks.
Doherty, S.K. (1999) Control of pH in chemical processes using artificial neural networks. Liverpool John Moores University, UK: Thesis [Details]