An Intelligent Systems Framework for the Operation of Complex Systems

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The main objective of the proposed research program is to further investigate the development of a novel**Intelligent Systems Paradigm and realize its implementation (using A.I., Soft Computing, techniques) on the**operation 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 the**development of efficient, robust, and truly real-time operation methods for complex industrial systems.********