Control and optimization of large-scale uncertain systems

大规模不确定系统的控制与优化

• 批准号: RGPIN-2014-05252
• 负责人: Guay, Martin
• 金额: $ 3.21万
• 依托单位: Queen's University
• 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=652585
• 关键词: Control; optimization; large; scale; uncertain

With increased market pressures, environmental constraints and energy costs, Canadian companies are looking for new strategies to integrate decision-making processes to yield sustainable economic performance. Process operators and managers require new technologies to develop flexible strategies to respond to economic pressures while satisfying emission restrictions and reducing energy costs. The proposed research program develops innovative techniques to address time-sensitive decision-making approaches for the design of state-of-the-art management systems. **The research program proposes three specific techniques for the design and implementation of novel technologies for the integrated management and operation of large-scale processes. The first technology is a novel controller system design that automatically seeks operating conditions to optimize a measured performance metric. The method requires no precise mathematical descriptions of the process. The proposed techniques alleviate important limitations of existing approaches and yield a robust and reliable framework for real-time decision-making strategies. **The second technology provides a framework for the design of large-scale systems that require the simultaneous orchestration of many operating decisions. With the help of recent advances in distributed optimization and emerging technologies in control engineering, the research proposed develops a systematic framework for the design of complex decision-making communication protocols and control algorithms.**The last aspect of the research program proposes a new theoretical foundation of the design of algorithms for large-scale dynamical systems operating over communication networks. With the growing need to automate and optimized large-scale dynamical systems over mobile networks and the internet, new techniques are required to handle the complexity of the information flow over complex architectures. The proposed technology will improve competitiveness of Canadian companies by helping manufacturers to address decision-making processes in complex communication architectures.**The results of this research program will yield commercially viable products and methods to assist control engineers and practitioners in the design of process management systems that guarantee quantifiable benefits. The results of this research will provide key technologies for the analysis and the design of complex control systems, providing a considerable advantage in maintaining economic viability and sustainability of large-scale systems. The proposed technologies will enable manufactures to handle large-scale systems. Consequently, they will gain the necessary flexibility to develop new commercial approaches that provide optimal performance with respect to measurable process outcomes such as economic performance, production rates, environmental constraints, energy costs and green-house gas emissions.

随着市场压力、环境限制和能源成本的增加，加拿大公司正在寻找新的战略来整合决策流程，以产生可持续的经济绩效。流程操作员和管理者需要新技术来制定灵活的策略，以应对经济压力，同时满足排放限制并降低能源成本。拟议的研究计划开发创新技术，以解决设计最先进管理系统的时间敏感决策方法。 **该研究计划提出了三种具体技术，用于设计和实施大规模流程集成管理和操作的新技术。第一项技术是一种新颖的控制器系统设计，可自动寻找操作条件以优化测量的性能指标。该方法不需要对过程进行精确的数学描述。所提出的技术减轻了现有方法的重要局限性，并为实时决策策略提供了强大而可靠的框架。 **第二种技术为需要同时编排许多操作决策的大型系统的设计提供了框架。借助分布式优化的最新进展和控制工程中的新兴技术，该研究为复杂决策通信协议和控制算法的设计开发了一个系统框架。**该研究计划的最后一个方面提出了在通信网络上运行的大规模动态系统的算法设计的新理论基础。随着移动网络和互联网上的自动化和优化大型动态系统的需求不断增长，需要新技术来处理复杂架构上信息流的复杂性。拟议的技术将通过帮助制造商解决复杂通信架构中的决策过程来提高加拿大公司的竞争力。**该研究计划的结果将产生商业上可行的产品和方法，以协助控制工程师和从业人员设计保证可量化效益的过程管理系统。这项研究成果将为复杂控制系统的分析和设计提供关键技术，为维持大型系统的经济可行性和可持续性提供相当大的优势。所提出的技术将使制造商能够处理大型系统。因此，他们将获得必要的灵活性来开发新的商业方法，在可衡量的过程结果（例如经济绩效、生产率、环境限制、能源成本和温室气体排放）方面提供最佳性能。