Grant: Discovery Grants Program - Individual
University of Regina
$26,000.00
An Intelligent Systems Framework for the Operation of Complex Systems
FY 2014-15
Summary
The main objective of the proposed research program is to further investigate the development of a novelIntelligent Systems Paradigm and realize its implementation (using A.I., Soft Computing, techniques) on theoperation of complex systems. This Paradigm is based on a recent study for Intelligent & Wise Systems Design / Operation, and Decision and Control, that has been solely developed by the applicant.The applicant recently has established a proper framework for Intelligent & Wise Systems Design/Operation, and has shown in a novel way that some Artificial / Computational Intelligence and Soft Computing techniques (Artificial Neural Networks; Fuzzy Logic Inference Engines; or Co-active Neural Fuzzy Inference Systems) can be effectively used to approximate inverse continuous functions that characterize general systems non-linear relationships. It is also demonstrated, that the Paradigm permits us to develop simple but efficient learning strategies for some classes of inferential approaches. The applicant's Paradigm has been conceived mainly for Intelligent & Wise Decision and Control problems. However, its development and implementation as indicated in the proposed research program, will be thoroughly investigated for the operation of complex systems; such as those characterized by highly non-linear (output/input) continuous relationships. In particular the proposed research will focus on the applicant's Paradigm implementation to develop approaches that need to be effective for truly real-time operation.The proposed research program is quite novel and it is of significant importance since it conduces to thedevelopment of efficient, robust, and truly real-time operation methods for complex industrial systems.
Program
Discovery Grants Program - Individual
Recipient
Location
Saskatchewan, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
155147-2013
Name nom
Mayorga, Rene
Department département
Engineering and Applied Science, Faculty of
Organization id
17
Institution établissement
University of Regina
Province en
Saskatchewan
Province fr
Saskatchewan
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2014
Competition year année de concours
2013
Award amount
26000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1509
Committee name en
Civil, Industrial and Systems Engineering
Committee name fr
Génie civil, industriel et des systèmes
Area of application code
520
Area of application group en
Manufacturing processes and products
Area of application group fr
Procédés et produits industriels
Area of application en
Production and operations management
Area of application fr
Production et gestion des opérations
Research subject code
2604
Research subject group en
Robotics
Research subject group fr
Robotique
Research subject en
Intelligent systems applications
Research subject fr
Applications de systèmes intelligents
Partie
2
Nb partie
5
Application title
An Intelligent Systems Framework for the Operation of Complex Systems
Keyword
NSERC
Application summary
The main objective of the proposed research program is to further investigate the development of a novelIntelligent Systems Paradigm and realize its implementation (using A.I., Soft Computing, techniques) on theoperation of complex systems. This Paradigm is based on a recent study for Intelligent & Wise Systems Design / Operation, and Decision and Control, that has been solely developed by the applicant.The applicant recently has established a proper framework for Intelligent & Wise Systems Design/Operation, and has shown in a novel way that some Artificial / Computational Intelligence and Soft Computing techniques (Artificial Neural Networks; Fuzzy Logic Inference Engines; or Co-active Neural Fuzzy Inference Systems) can be effectively used to approximate inverse continuous functions that characterize general systems non-linear relationships. It is also demonstrated, that the Paradigm permits us to develop simple but efficient learning strategies for some classes of inferential approaches. The applicant's Paradigm has been conceived mainly for Intelligent & Wise Decision and Control problems. However, its development and implementation as indicated in the proposed research program, will be thoroughly investigated for the operation of complex systems; such as those characterized by highly non-linear (output/input) continuous relationships. In particular the proposed research will focus on the applicant's Paradigm implementation to develop approaches that need to be effective for truly real-time operation.The proposed research program is quite novel and it is of significant importance since it conduces to thedevelopment of efficient, robust, and truly real-time operation methods for complex industrial systems.