Search Results - "Tham, M.T"

Thermographic analysis of thin liquid films on a rotating disc: Approach and challenges by Ghiasy, D., Boodhoo, K.V.K., Tham, M.T.

“…This paper examines the temperature profiles and flow characteristics of thin liquid films on a rotating surface by means of an Infrared (IR) thermal imaging…”
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Control of intensified equipment: A simulation study for pH control in a spinning disc reactor by Ghiasy, D., Boodhoo, K.V.K., Tham, M.T.

“…► We outlined the challenges that may be encountered in control of intensified units. ► The difficulties are due to fast dynamics and more complexity of…”
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Non-linear principal components analysis using genetic programming by Hiden, H.G., Willis, M.J., Tham, M.T., Montague, G.A.

“…Principal components analysis (PCA) is a standard statistical technique, which is frequently employed in the analysis of large highly correlated data sets. As…”
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Enhancing bioprocess operability with generic software sensors by Montague, G A, Morris, A J, Tham, M T

“…This paper discusses the concept of generic model-based software sensors with particular reference to bioprocess application. The industrial need for software…”
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On the dynamics and control of a polymer film compact heat exchanger by Davidson, A.G., Jachuck, R.J., Tham, M.T., Ramshaw, C.

“…Process intensification has the potential to change the state of the chemical and process industries. The polymer film compact heat exchanger (PFCHE) is a new…”
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The relative order and inverses of recurrent networks by Kambhampati, C., Manchanda, S., Delgado, A., Green, G.G.R., Warwick, K., Tham, M.T.

“…Differential geometry is used to investigate the structure of neural-network-based control systems. The key aspect is relative order—an invariant property of…”
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Control Strategies for Process Intensified Systems by Jones, R.W., Tham, M.T.

“…This paper considers the design of PID controllers for applications to process intensified systems. Unlike large scale process units, intensified processes…”
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Maximum Sensitivity based PID Controller Tuning: A survey and comparison by Jones, R.W., Tham, M.T.

“…Maximum sensitivity, M s , is a closed-loop design specification that satisfies many of the requirements of a useful and practical PID controller tuning…”
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Practical Inferential Estimation Using Artificial Neural Networks by Ming T. Tham, Gary A. Montague, Jarka Glassey, Mark J. Willis

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Inferential estimation of viscosity index on a lubricant production plant by Mitchell, A., Willis, M.J., Tham, M.T., Bitar, S.S.

“…This paper presents an industrial case study examining the application of inferential estimation to a lubricant production plant. Three estimation algorithms…”
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On globally linearising control about singular points by McColm, E.J., Tham, M.T.

“…Globally linearising control (GLC) was first proposed by Kravaris-Chung (1987) and is the method upon which this paper is focused. It uses explicit…”
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Towards active statistical process control by Ibrahim, K.A., Tham, M.T.

“…Statistical process control (SPC) research has focused on charting techniques which are employed for process monitoring. Unfortunately, little attention has…”
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Integrated inferential estimation and control by Brunet-Manquat, F., Willis, M.J., Tham, M.T.

“…In this contribution a multi-rate adaptive inferential control law is proposed. The algorithm is based upon the synthesis of an adaptive inferential estimation…”
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Gain and phase margin controller tuning: FOPTD or IPDT model-based methods? by Jones, R.W., Tham, M.T.

“…Control problems have been experienced with FOPTD-based PID tuning methods when the normalized dead-time of the process model is small. One proposed solution…”
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A comparison of simple robust PI design methods: studies on a multivariable system by Jones, R.W., Tham, M.T.

“…Two simple PID design methods, IMC and GPM, that use robustness as their main design criteria, as opposed to performance, are applied to a multi-loop PI…”
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Multivariable Constrained Generalised Predictive Control; A Comparison with QDMC by Wilkinson, D.J., Morris, A.J., Tham, M.T.

“…A multivariable constrained Generalised Predictive Control algorithm is proposed. The solution of the multivariable constrained optimisation is achieved using…”
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Inferential estimation of viscosity index on a lubricant production plant by Mitchell, A., Willis, M.J., Tham, M.T., Johnson, N., Skorge, L.M.

“…A multi-rate adaptive inferential estimation technique is briefly presented. The methodology is used to infer infrequently measured viscosity index on an…”
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Self-tuning Process Control: a review of some algorithms and their application by Tham, M.T., Morris, A.J., Montague, G.A.

“…Several self-tuning algorithms which can provide for offset free responses are reviewed and a generalised framework allowing the study of process-model…”
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A Comparison of Multivariable Long Range Predictive Control with GMV Control in a Highly Nonlinear Enviroment by Montague, G.A., Tham, M.T., Morris, A.J.

“…In the past few years many contributions to multivariable parameter adaptive control have been proposed, particularly in the areas of generalized minimum…”
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System identification via genetic programming by South, M, Bancroft, C, Willis, M.J, Tham, M.T

“…Compared to bit string coded GAs, GP is a more powerful system identification tool. However, there is no guarantee that GP will produce an exact solution…”
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