- Email: [email protected]
Intelligent controller research at the Rand Afrikaans University
FUZZY
sets and systems ELSEVIER
Fuzzy Sets and Systems 88 (1997) 129-133
Bulletin Editorial This issue of the Bulletin contains a selection of interesting research reports from around the w o r l d and I thank all the contributors. This will be my last editorial as editor of the Bulletin section, which I have edited since 1986 when I took over from the founding editor Janet Efstathiou. The field has expanded substantially in this time and fuzzy logic has benefited in prestige from the many industrial applications that have been implemented. I have enjoyed my stint as editor t r e m e n d o u s l y as it has put me in touch with fuzzy scientists in all corners of the globe. My policy was to continue Janet's strategy of soliciting research reports to foster greater international collaboration and communication in the fuzzy sets c o m m u n i t y . I also tried to build up the number of book reviews over the years, complementing the inclusion of conference reports, calls for papers and other event related news items. N o w I feel that the time has come for me to hand over to a new editor with perhaps fresh, new ideas. I hope that the Bulletin will continue with its basic mission to unite fuzzy researchers across national boundaries and p r o m o t e the free exchange of news and ideas. I wish the new incumbent every success. I w o u l d also like to thank the many, many people w h o have sent me their contributions and news items over the past decade and the Editor-in-Chief, Hans Z i m m e r m a n n and the staff at Elsevier for their help and support during this time.
Technology Research Group, Faculty of Engineering, Rand Afrikaans University, South Africa, under the Prog r a m m e Directorship of Prof. J.D. van Wyk. Fuzzy and neural network based controller research articles by Proffs lan S. Shaw, J.D. van Wyk, and J.J. Kruger have appeared in journals like Fuzzy Sets and Systems, Journal of M a n Machine Studies, Transactions of the South African Institute of Electrical Engineers, and Electronics Letters while numerous papers on the same subject have been presented at various IFAC, IEEE, ISUMA, EPE, EUFIT, and IECON conferences. In addition, our group has spearheaded the practical application of intelligent control in the South African industry. Past and current research projects involving postgraduate students have been: Fuzzy modelling of a human control operator in a compensatory tracking loop system. Self-learning fuzzy controller with recursive estimation. - VLSI hardware realization of self-learning fuzzy controller with recursive estimation. - Comparative study of a neural network based and a fuzzy logic based model of a human control operator in compensatory and pursuit tracking loops. - Comparative study of a rule-based fuzzy controller and a discrete PID controller for a first-order plant with dead time. - Neural network based controller for the balancing tank of a wastewater plant. - Study of multivariable fuzzy controllers. Fuzzy logic speed controller for an electric induction machine for a low-cost wheel chair. - N e u r a l network based controller for cost-effective distortion compensation of electric power networks. Fuzzy speed controller for an electric DC locomotive. - Fuzzy electrode positioning and power controller for an electric arc furnace. - Fuzzy controller for ore particle size in an autogeneous mill. Adaptive control of an isolated traffic intersection using a neural network. Adaptive control of an isolated traffic intersection using fuzzy logic. -
lan Graham February 1997
Intelligent Controller Research at the Rand Afrikaans University This work, aimed at the application of intelligent controllers in industrial furnace and ore crushing mill control, electric power network distortion compensation, electric traction, and human/machine systems, is one of the research directions in the Industrial Electronic
0165-0114/97/$17.00 (~ 1997 Elsevier Science B.V. All rights reserved P I I SO 165-0 11 4(97 )00058-4
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130
Bulletin / Fuzzy Sets and Systems 88 (1997) 129-133
Study of the stability criteria of fuzzy controllers. Prof. I.S. Shaw Industrial Electronic Technology Research Group, Faculty of Engineering Rand Afrikaans University PO Box 524, Auckland Park 2006 South Africa Fax: 27-11-489-2446 Tel.: 27-11-489-2594
Research activities related to fuzzy sets and fuzzy logic at the Machine Intelligence Unit of the Indian Statistical Institute, Calcutta, India Though the Machine Intelligence Unit is at its infancy, the members of this unit especially those w h o are working on fuzzy sets and fuzzy logic are actively engaged in this field for quite a long time and have earned national and international recognition. Recently, the group is mainly concentrating on the following major topics. 5oft computing: Research is in progress to realize the basic goal of soft-computing, viz., tractability, robustness and low cost. Various hybridizations like neuro-fuzzy, neuro-genetic, fuzzy-rough, neuro-fuzzy-genetic are being carried out in this regard. Image processing using fuzzy sets: Various types of image segmentation, image enhancement and image skeletonization techniques are developed by some of the members of the group. Further research is in progress mainly to develop neuro-fuzzy techniques for image processing by incorporating the merits of fuzzy set theory and neural networks. Multivalued pattern classification systems using fuzzy logic: A multivalued pattern classification system which assigns multiple class labels with certainty factors to an input pattern is developed. Its applicability is demonstrated widely on remotely sensed images. An efficient way of decomposing the feature space is under investigation. Neuro-fuzzy systems for pattern classification and rule generation: Members working on this topic have already developed some algorithms and models for pattern classification and rule generation by designing various modified versions of different neural network architectures so as to handle fuzzy input, provide fuzzy output label for patterns and to use fuzzy operators. The system has the ability to query users for any additional information it needs. Demonstrations of the utility of these techniques on finger prints and EEG are in progress. Fuzzy logic controller: A new concept of context sensitive reasoning has been proposed and used to develop reinforcement type learning algorithms for designing adaptive fuzzy controllers. Relative importance of rules
has also been incorporated into fuzzy models for design of robust and efficient controllers. The fuzzy control paradigm has been used in conjunction with human psycho-visual facts for edge detection. Uncertainty measures: A new measure of total uncertainty in the Dempster Shafer framework has been suggested. A unique measure of information quantifying the conflict aspect of total uncertainty associated with a body of evidence has been derived. Besides these, various entropy measures were developed by this group. Very recently the unit has completed a project sponsored by the Defence Electronics Applications Laboratory, Government of India on analyzing remotely sensed data using fuzzy set theoretic techniques. (Unsupervised) segmentation of remotely sensed images, classification of various land cover types and detection of various important objects were the prime outcome of the project. Another project of national importance titled "A Neurofuzzy Image Recognition System: Methodology Development for Forensic Applications" (sponsored by CSIR) will be completed successfully next year. Members of the unit do collaborative work on fuzzy technology with University of West Florida, USA; NASA, USA; Duke University, Durham, USA; Colorado State University, Fort Collins, USA; Georgia Southern University, USA; University of Houston, USA; Institute fLir Wirtschaftswissenschaften, Germany; Hannan University, Japan; Ryukoku University, Japan; and Osaka Prefecture University, Japan. This year one of the members (Sushmita Mitra) of the group got her Ph.D. degree for her contribution on developing neuro-fuzzy pattern classification and rule generation techniques. Title of her thesis: Neuro-fuzzy Models for Pattern Classification and Rule Generation. Another member (Jayanta Basak) got his Ph.D. degree for his contribution on designing neural network architectures for object recognition. Thesis title: Connectionist Models for Certain Tasks Related to Object Recognition. The group publishes intensively in International Journals and Conferences. An edited v o l u m e on Genetic Algorithms for Pattern Recognition, CRC Press, Boca Raton, has been brought out by Prof. S.K. Pal, co-edited with Prof. P.P. Wang of Duke University. Besides, some of the members of the group are highly engaged with editorial activity of many international journals like IEEE TNN, IEEE TFS, IETE, Neuro-Computing, Pattern Recognition Letters, Applied Intelligence, Information Sciences, Int. Journal of Approximate Reasoning, and Resonance. Dr. Ashish Ghosh and Dr. (Ms.) Mohua Banerjee of the group got the Young _Scientist award from the Indian National Science Academy in 1995; and Dr. Jayanta Basak in 1996. This award is considered to be one of the coveted and prestigious awards for Indian scientists below the age of 32. Prof. Shankar K. Pal worked for the last two years with the prestigious Jawaharlal Nehru Fellowship for developing neuro-fuzzy expert systems. He is a fellow of the IEEE. He is the recepient of S.S. Bhatnagar prize (high-
sets and systems ELSEVIER
Fuzzy Sets and Systems 88 (1997) 129-133
Bulletin Editorial This issue of the Bulletin contains a selection of interesting research reports from around the w o r l d and I thank all the contributors. This will be my last editorial as editor of the Bulletin section, which I have edited since 1986 when I took over from the founding editor Janet Efstathiou. The field has expanded substantially in this time and fuzzy logic has benefited in prestige from the many industrial applications that have been implemented. I have enjoyed my stint as editor t r e m e n d o u s l y as it has put me in touch with fuzzy scientists in all corners of the globe. My policy was to continue Janet's strategy of soliciting research reports to foster greater international collaboration and communication in the fuzzy sets c o m m u n i t y . I also tried to build up the number of book reviews over the years, complementing the inclusion of conference reports, calls for papers and other event related news items. N o w I feel that the time has come for me to hand over to a new editor with perhaps fresh, new ideas. I hope that the Bulletin will continue with its basic mission to unite fuzzy researchers across national boundaries and p r o m o t e the free exchange of news and ideas. I wish the new incumbent every success. I w o u l d also like to thank the many, many people w h o have sent me their contributions and news items over the past decade and the Editor-in-Chief, Hans Z i m m e r m a n n and the staff at Elsevier for their help and support during this time.
Technology Research Group, Faculty of Engineering, Rand Afrikaans University, South Africa, under the Prog r a m m e Directorship of Prof. J.D. van Wyk. Fuzzy and neural network based controller research articles by Proffs lan S. Shaw, J.D. van Wyk, and J.J. Kruger have appeared in journals like Fuzzy Sets and Systems, Journal of M a n Machine Studies, Transactions of the South African Institute of Electrical Engineers, and Electronics Letters while numerous papers on the same subject have been presented at various IFAC, IEEE, ISUMA, EPE, EUFIT, and IECON conferences. In addition, our group has spearheaded the practical application of intelligent control in the South African industry. Past and current research projects involving postgraduate students have been: Fuzzy modelling of a human control operator in a compensatory tracking loop system. Self-learning fuzzy controller with recursive estimation. - VLSI hardware realization of self-learning fuzzy controller with recursive estimation. - Comparative study of a neural network based and a fuzzy logic based model of a human control operator in compensatory and pursuit tracking loops. - Comparative study of a rule-based fuzzy controller and a discrete PID controller for a first-order plant with dead time. - Neural network based controller for the balancing tank of a wastewater plant. - Study of multivariable fuzzy controllers. Fuzzy logic speed controller for an electric induction machine for a low-cost wheel chair. - N e u r a l network based controller for cost-effective distortion compensation of electric power networks. Fuzzy speed controller for an electric DC locomotive. - Fuzzy electrode positioning and power controller for an electric arc furnace. - Fuzzy controller for ore particle size in an autogeneous mill. Adaptive control of an isolated traffic intersection using a neural network. Adaptive control of an isolated traffic intersection using fuzzy logic. -
lan Graham February 1997
Intelligent Controller Research at the Rand Afrikaans University This work, aimed at the application of intelligent controllers in industrial furnace and ore crushing mill control, electric power network distortion compensation, electric traction, and human/machine systems, is one of the research directions in the Industrial Electronic
0165-0114/97/$17.00 (~ 1997 Elsevier Science B.V. All rights reserved P I I SO 165-0 11 4(97 )00058-4
-
-
130
Bulletin / Fuzzy Sets and Systems 88 (1997) 129-133
Study of the stability criteria of fuzzy controllers. Prof. I.S. Shaw Industrial Electronic Technology Research Group, Faculty of Engineering Rand Afrikaans University PO Box 524, Auckland Park 2006 South Africa Fax: 27-11-489-2446 Tel.: 27-11-489-2594
Research activities related to fuzzy sets and fuzzy logic at the Machine Intelligence Unit of the Indian Statistical Institute, Calcutta, India Though the Machine Intelligence Unit is at its infancy, the members of this unit especially those w h o are working on fuzzy sets and fuzzy logic are actively engaged in this field for quite a long time and have earned national and international recognition. Recently, the group is mainly concentrating on the following major topics. 5oft computing: Research is in progress to realize the basic goal of soft-computing, viz., tractability, robustness and low cost. Various hybridizations like neuro-fuzzy, neuro-genetic, fuzzy-rough, neuro-fuzzy-genetic are being carried out in this regard. Image processing using fuzzy sets: Various types of image segmentation, image enhancement and image skeletonization techniques are developed by some of the members of the group. Further research is in progress mainly to develop neuro-fuzzy techniques for image processing by incorporating the merits of fuzzy set theory and neural networks. Multivalued pattern classification systems using fuzzy logic: A multivalued pattern classification system which assigns multiple class labels with certainty factors to an input pattern is developed. Its applicability is demonstrated widely on remotely sensed images. An efficient way of decomposing the feature space is under investigation. Neuro-fuzzy systems for pattern classification and rule generation: Members working on this topic have already developed some algorithms and models for pattern classification and rule generation by designing various modified versions of different neural network architectures so as to handle fuzzy input, provide fuzzy output label for patterns and to use fuzzy operators. The system has the ability to query users for any additional information it needs. Demonstrations of the utility of these techniques on finger prints and EEG are in progress. Fuzzy logic controller: A new concept of context sensitive reasoning has been proposed and used to develop reinforcement type learning algorithms for designing adaptive fuzzy controllers. Relative importance of rules
has also been incorporated into fuzzy models for design of robust and efficient controllers. The fuzzy control paradigm has been used in conjunction with human psycho-visual facts for edge detection. Uncertainty measures: A new measure of total uncertainty in the Dempster Shafer framework has been suggested. A unique measure of information quantifying the conflict aspect of total uncertainty associated with a body of evidence has been derived. Besides these, various entropy measures were developed by this group. Very recently the unit has completed a project sponsored by the Defence Electronics Applications Laboratory, Government of India on analyzing remotely sensed data using fuzzy set theoretic techniques. (Unsupervised) segmentation of remotely sensed images, classification of various land cover types and detection of various important objects were the prime outcome of the project. Another project of national importance titled "A Neurofuzzy Image Recognition System: Methodology Development for Forensic Applications" (sponsored by CSIR) will be completed successfully next year. Members of the unit do collaborative work on fuzzy technology with University of West Florida, USA; NASA, USA; Duke University, Durham, USA; Colorado State University, Fort Collins, USA; Georgia Southern University, USA; University of Houston, USA; Institute fLir Wirtschaftswissenschaften, Germany; Hannan University, Japan; Ryukoku University, Japan; and Osaka Prefecture University, Japan. This year one of the members (Sushmita Mitra) of the group got her Ph.D. degree for her contribution on developing neuro-fuzzy pattern classification and rule generation techniques. Title of her thesis: Neuro-fuzzy Models for Pattern Classification and Rule Generation. Another member (Jayanta Basak) got his Ph.D. degree for his contribution on designing neural network architectures for object recognition. Thesis title: Connectionist Models for Certain Tasks Related to Object Recognition. The group publishes intensively in International Journals and Conferences. An edited v o l u m e on Genetic Algorithms for Pattern Recognition, CRC Press, Boca Raton, has been brought out by Prof. S.K. Pal, co-edited with Prof. P.P. Wang of Duke University. Besides, some of the members of the group are highly engaged with editorial activity of many international journals like IEEE TNN, IEEE TFS, IETE, Neuro-Computing, Pattern Recognition Letters, Applied Intelligence, Information Sciences, Int. Journal of Approximate Reasoning, and Resonance. Dr. Ashish Ghosh and Dr. (Ms.) Mohua Banerjee of the group got the Young _Scientist award from the Indian National Science Academy in 1995; and Dr. Jayanta Basak in 1996. This award is considered to be one of the coveted and prestigious awards for Indian scientists below the age of 32. Prof. Shankar K. Pal worked for the last two years with the prestigious Jawaharlal Nehru Fellowship for developing neuro-fuzzy expert systems. He is a fellow of the IEEE. He is the recepient of S.S. Bhatnagar prize (high-