An Intelligent Systems Framework for the Operation of Complex Systems

用于复杂系统运行的智能系统框架

• 批准号: 155147-2013
• 负责人: Mayorga, Rene
• 金额: $ 1.89万
• 依托单位: University of Regina
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=569424
• 关键词: Intelligent; Systems; Framework; Operation; Complex

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.

拟议的研究计划的主要目标是进一步调查一种新的发展 智能系统范式并实现其实现（使用A.I.，软计算，技术） 复杂系统的运行。该范例基于最近的一项关于智能和明智系统设计/操作以及决策和控制的研究，该研究由申请人单独开发。 申请人最近已经建立了用于智能和明智系统设计/操作的适当框架，并且已经以新颖的方式示出了一些人工/计算智能和软计算技术（人工神经网络;模糊逻辑推理引擎;或协同神经模糊推理系统）可以有效地用于近似表征一般系统非线性关系的逆连续函数。它还表明，范式允许我们开发简单而有效的学习策略，为某些类的推理方法。 申请人的范例主要针对智能和明智的决策和控制问题而构思。然而，它的发展和实施所提出的研究计划中指出，将彻底调查复杂系统的操作;如那些具有高度非线性（输出/输入）连续关系。特别是拟议的研究将集中在申请人的范例实施，以开发需要有效的真正的实时操作的方法。 所提出的研究计划是相当新颖的，它是非常重要的，因为它有助于 为复杂的工业系统开发高效、稳健和真正实时的操作方法。