ITR: An Agent-Based Negotiation Framework for the Robust Design of Active-Passive Hybrid Piezoelectric Vibration Control Networks

ITR：基于代理的协商框架，用于主动-被动混合压电振动控制网络的鲁棒设计

• 批准号: 0218597
• 负责人: Kon-Well Wang
• 金额: $ 35万
• 依托单位: Pennsylvania State Univ University Park
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-01-01 至 2006-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0218597&HistoricalAwards=false
• 关键词: ITR; Agent; Based; Negotiation; Framework

PI's Name, Institution: Kon-Well Wang, Penn State UniversityProposal Number: 0218597Proposal Title: ITR - An Agent-Based Negotiation Framework for the Robust Design of Active-Passive Hybrid Piezoelectric Vibration Control NetworksProject Abstract The objective of the proposed research is to investigate novel information technology (IT)-based approach for synthesizing electromechanically optimized smart structures. Specifically, we will develop an Agent-based Negotiation framework for the robust design of large-scale active-passive hybrid piezoelectric networks (APPN) for structural vibration control. The framework is to assist the designer in making high-level design decisions (e.g., the selection of circuit topology) and in analyzing the tradeoff among conflicting design objectives, which include the robustness requirement for dealing with model uncertainty. The research tasks include methodology development, system analysis, and experimental investigation. The goal of the education plan is to integrate the research with various educational programs at Penn State and achieve a broad range of impact on student learning. The significance and impacts are: (a) This study will be a pioneer effort exploring the feasibility of utilizing IT to optimally tailor a large-scale electro-mechanically coupled smart structure system, considering design uncertainties, tradeoffs, and circuit topology selections. (b) The investigation will have significant impacts on agent-based technology because it addresses the increasingly important issue of negotiation among a structured team of collaborative agents. It can increase the scalability of agent teams and enable them to adapt themselves to avoid cognitive overload in complex domains such as distributed decision makings. (c) The research will have broad influence on many engineering systems. The automotive, aerospace, manufacturing, instrumentation and many other industries will benefit from the vibration control technologies developed based on the outcome of this investigation. (d) The educational efforts will have broad impact on teaching the next generation of engineers and IT workforce to utilize modern computer technology for solving large-scale complex engineering problems with uncertainties and conflicting design requirements.

主要研究者姓名，机构：Kon-Well Wang，宾夕法尼亚州立大学提案编号：0218597提案标题：ITR -用于主动-被动混合压电振动控制网络鲁棒设计的基于代理的协商框架项目摘要拟议研究的目标是研究新型信息技术（IT）基于机电优化智能结构的合成方法。 具体来说，我们将开发一个基于Agent的协商框架的鲁棒设计的大规模主动-被动混合压电网络（APPN）的结构振动控制。 该框架是为了帮助设计人员做出高级设计决策（例如，电路拓扑结构的选择）以及分析冲突设计目标之间的折衷，其中包括处理模型不确定性的鲁棒性要求。 研究任务包括方法开发、系统分析和实验研究。 该教育计划的目标是将研究与宾夕法尼亚州立大学的各种教育计划相结合，并对学生的学习产生广泛的影响。 其意义和影响是：（a）这项研究将是一个先驱性的努力，探索利用IT优化定制一个大规模的机电耦合智能结构系统，考虑设计的不确定性，权衡，和电路拓扑选择的可行性。 (b)调查将有显着的影响，基于代理的技术，因为它解决了越来越重要的问题，一个结构化的团队合作代理之间的谈判。 它可以增加代理团队的可扩展性，使他们能够适应自己，以避免在复杂的领域，如分布式决策的认知过载。 (c)该研究将对许多工程系统产生广泛的影响。 汽车、航空航天、制造业、仪器仪表和许多其他行业将受益于基于本研究结果开发的振动控制技术。 (d)教育工作将产生广泛的影响，教导下一代工程师和IT员工利用现代计算机技术解决具有不确定性和相互冲突的设计要求的大规模复杂工程问题。