G. A. Montague

chapter

Industrial applications of a new adaptive estimator for inferential control

A. J. Morris, M. T. Tham, G. A. Montague

Lecture Notes in Control and Information Sciences > Adaptive Control Strategies for Industrial Use > 187-211

Two methods for inferring process outputs which can only be measured at infrequent intervals of time, from other more rapidly sampled secondary outputs, are presented. The estimators (or soft-sensors) use both a general input-output representation of the plant and a state space representation as starting points for synthesis of the algorithms. The developments are supported by results from some recent...

chapter

Artificial intelligence and the supervision of bioprocesses (real-time knowledge-based systems and neural networks)

M. Aynsley, A. Hofland, A. J. Morris, G. A. Montague, more

Advances in Biochemical Engineering > Bioprocess Design and Control > 1-27

The ability to supervise and control a highly non-linear and time variant bioprocess is of considerable importance to the biotechnological industries which are continually striving to obtain higher yields and improved uniformity of production. Two AI methodologies aimed at contributing to the overall intelligent monitoring and control of bioprocess operations are discussed. The development...

article

Neural networks for steady state modelling of an extruder

M. G. Wagner, G. A. Montague, M. T. Tham

Artificial Intelligence in Engineering > 1997 > 11 > 4 > 375-382

The inherent complexities of the extrusion process have made the development of both mechanistic and parametric models problematic. This contribution addresses the issues involved in developing a realistic model of an industrial reactive plasticating extruder to enable prediction of extrudate viscosity, which provides a good measure of product quality for the process. The complex non-linearities...

article

Modelling pressure drop in water treatment

J. Conlin, C. Peel, G. A. Montague

Artificial Intelligence in Engineering > 1997 > 11 > 4 > 393-400

Industrial concern regarding the use of black box models has understandably limited their routine application. In an attempt to overcome some of these concerns the technique of hybrid modelling (Thompson, M. L. and Kramer, M. A., AIChE Journal, 1991, 40, 1328-1340) has become a popular alternative. It has been applied to many different processes and has shown a marked improvement on the now...

article

Fault diagnosis of a CSTR using fuzzy neural networks

Zhang J., A. J. Morris, G. A. Montague

Annual Review in Automatic Programming > 1994 > 19 > 153-158

On-line process fault diagnosis using fuzzy neural networks is described in this paper. The fuzzy neural network is obtained by adding a fuzzification layer to a conventional feed forward neural network. The fuzzification layer converts increments in on-line measurements and controller outputs into three fuzzy sets: increase , steady , and decrease . Abnormalities in a process are represented...

article

Radial basis function networks applied to process control

A. G. Hofland, A. J. Morris, G. A. Montague

American Control Conference > 1992 > 29 > 480 - 484

American Control Conference

There are strong relationships between radial basis function (RBF) approaches and neural network representations. Indeed, the RBF representation can be implemented in the form of a two-layered network. This paper examines the contribution that RBF networks can make to the process modelling are control toolbox. Radial basis function networks are compared with sigmoidal activation function feedforward...

article

An appraisal of nonlinear control philosophies for application to a biochemical process

S. Manchanda, M. J. Willis, M. T. Tham, C. Di Massimo, more

American Control Conference > 1991 > 28 > 1317 - 1322

American Control Conference

article

Non-linear predictive control using optimisation techniques

M. J. Willis, G. A. Montague, C. Di Massimo, M. T. Tham, more

American Control Conference > 1991 > 28 > 2788 - 2793

American Control Conference

In this contribution a nonlinear multivariable predictive controller is proposed where the nominal model used for control law synthesis is a neural network. The technique makes use of an on-line optimisation routine which determines the future inputs that will minimise the deviations between the desired and predicted outputs. Control is implemented in a receding horizon fashion. The paper highlights...

article

Artificial neural networks: A panacea to modelling problems?

M. J. Willis, G. A. Montague, A. J. Morris, M. T. Tham

American Control Conference > 1991 > 28 > 2337 - 2342

American Control Conference

Hype has played a significant role in the history of artificial neural network research. From the initial recognition of the potential for networks to approximate non-linear functions some quite exaggerated claims have been an unwelcome accompaniment to research developments. Results from both simulation studies and real process applications indicated that even simple network architectures appeared...

article

Multivariable adaptive optimisation of the performance of fermentation process

C. Kambhampati, M. T. Tham, G. A. Montague, A. J. Morris

American Control Conference > 1990 > 27 > 2673 - 2678

American Control Conference

This paper addresses the multi-variable optimisation of bioreactor performance. The central idea here is to use a time series model, which is identified on-line, to evaluate the steady-state performance of the bioreactor. A simple algorithm has been developed around this theme and analysed in Kambhampati et al (1989). A fermentation process model has been developed to provide a test system for the...

article

Multivariable Adaptive Optimisation of the Performance of Fermentation Process

C Kambhampati, M. T. Tham, G. A Montague, A. J. Morris

01990 American Control Conference > 1990 > 2673 - 2678

1990 American Control Conference

This paper addresses the multi-variable optimisation of bioreactor performance. The central idea here is to use a time series model, which is identified on-line, to evaluate the steady-state performance of the bioreactor. A simple algorithm has been developed around this theme and analysed in Kambhampati et al (1989). A fermentation process model has been developed to provide a test system for the...

article

A real-time knowledge based system for the operation and control of a fermentation plant

M. Aynsley, A. G. Hofland, G. A. Montague, D. Peel, more

American Control Conference > 1990 > 27 > 1992 - 1997

American Control Conference

In this paper a knowledge based systems approach is proposed for the improved control and operation of a fermentation plant. The system is composed of three elements; a supervisory knowledge base, a scheduling knowledge base and an on-line relational database. The supervisor is responsible for monitoring and controlling individual fermenters and is instructed when to initiate or terminate a fermentation...

article

A comparison of adaptive estimation with neural based techniques for bioprocess application

P. A. Lant, M. J. Willis, G. A. Montague, M. T. Tham, more

American Control Conference > 1990 > 27 > 2173 - 2178

American Control Conference

The last few years have seen the proliferation of inferential estimation methodologies. These are techniques which are capable of providing estimates of 'difficult-to-measure' fermentation process variables from other easily available process measurements. In the literature, two avenues tend to predominate: one being based upon the use of physicochemical models, while the other makes use of an input-output...

article

Non-linear estimation and control of mycelial fermentations

C. Di Massimo, A. C. G. Saunders, A. J. Morris, G. A. Montague

American Control Conference > 1989 > 26 > 1994 - 1999

American Control Conference

Enhanced process supervision and control is one potential means of obtaining improvements in fermentation operability. However, the inability to obtain on-line measurements of critical variables has hindered process operation improvements. It is estimation techniques that are being developed to overcome this problem on an industrial scale that offer a possible solution to these obstacles. Fixed model...

article

Application of on-line estimation techniques to fermentation processes

M. T. Tham, G. A. Montague, A. J. Morris

American Control Conference > 1988 > 25 > 1129 - 1134

American Control Conference

This paper presents some recent industrial scale site test results of a new estimation algorithm for the on-line determination of biomass. The technique uses measurements from established instruments such as Carbon dioxide analysers and flow transducers. The key development is an adaptive estimation relationship for inferring infrequently measured process outputs, from other more rapidly sampled secondary...

article

Self-tuning process control: A review of some algorithms and their application

M. T. Tham, A. J. Morris, G. A. Montague

American Control Conference > 1987 > 24 > 996 - 1001

American Control Conference

Several self-tuning algorithms which can provide for offset free responses are reviewed and a generalised framework allowing the study of process-model mismatch and disturbance rejection properties is summarised. Multivariable developments of the algorithms have been applied to the simultaneous regulation of terminal compositions of a binary distillation column.

article

Fermentation process control: Considerations in control scheme development

G. A. Montague, A. J. Morris, J. R. Bush

American Control Conference > 1987 > 24 > 676 - 681

American Control Conference

It has long been thought that bioprocesses, with their inherent measurement difficulties and complex dynamics, posed almost insermountable problems to the control engineer. Although much research has recently been biased towards the development of biosensors to give more insight into process dynamics, this paper concentrates on more effective use of those measurements which are already available....

article

Fermentation Process Control: Considerations in Control Scheme Development

G. A. Montague, A. J. Morris, J. R. Bush

01987 American Control Conference > 1987 > 676 - 681

1987 American Control Conference

It has long been thought that bioprocesses, with their inherent measurement difficulties and complex dynamics, posed almost insermountable problems to the control engineer. Although much research has recently been biased towards the development of biosensors to give more insight into process dynamics, this paper concentrates on more effective use of those measurements which are already available....

article

A comparison of multivariable long range predictive control with GMV control in a highly nonlinear enviroment

G. A. Montague, M. T. Tham, A. J. Morris

American Control Conference > 1986 > 23 > 721 - 727

American Control Conference

In the past few years many contributions to multivariable parameter adaptive control have been proposed, particularly in the areas of generalized minimum variance, pole placement, state feedback and LQG methodologies. In an attempt to overcome some of the problems found in their practical application, renewed attention has been focused on long-range predictive control laws. This paper examines and...

INFONA - science communication portal

Search results for: G. A. Montague

Industrial applications of a new adaptive estimator for inferential control

Artificial intelligence and the supervision of bioprocesses (real-time knowledge-based systems and neural networks)

Neural networks for steady state modelling of an extruder

Modelling pressure drop in water treatment

Fault diagnosis of a CSTR using fuzzy neural networks

Radial basis function networks applied to process control

An appraisal of nonlinear control philosophies for application to a biochemical process

Non-linear predictive control using optimisation techniques

Artificial neural networks: A panacea to modelling problems?

Multivariable adaptive optimisation of the performance of fermentation process

Multivariable Adaptive Optimisation of the Performance of Fermentation Process

A real-time knowledge based system for the operation and control of a fermentation plant

A comparison of adaptive estimation with neural based techniques for bioprocess application

Non-linear estimation and control of mycelial fermentations

Application of on-line estimation techniques to fermentation processes

Self-tuning process control: A review of some algorithms and their application

Fermentation process control: Considerations in control scheme development

Fermentation Process Control: Considerations in Control Scheme Development

A comparison of multivariable long range predictive control with GMV control in a highly nonlinear enviroment

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