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: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=659110
• 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.********

拟议研究计划的主要目标是进一步研究新型**智能系统范式的开发，并在复杂系统的**操作上实现其实现（使用人工智能、软计算技术）。该范式基于最近由申请人单独开发的智能与明智系统设计/操作以及决策和控制研究。****申请人最近为智能与明智系统设计/操作建立了适当的框架，并以新颖的方式展示了一些人工智能/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） Systems）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。它还证明，该范式允许我们为某些类别的推理方法开发简单但有效的学习策略。 ****申请人的范式主要是针对智能决策和控制问题而构思的。然而，如拟议的研究计划所示，其开发和实施将针对复杂系统的运行进行彻底研究；例如那些具有高度非线性（输出/输入）连续关系的特征。特别是，拟议的研究将重点关注申请人的范式实施，以开发真正实时操作所需的有效方法。****拟议的研究计划非常新颖，并且具有重要意义，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。********