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

Pi的名字，机构：Kon-well Wang，宾夕法尼亚州立大学提案编号：0218597提案标题：ITR-一个基于智能体的主被动混合压电振动控制网络稳健设计谈判框架项目摘要本研究的目的是探索基于信息技术(IT)的新方法，用于综合机电优化的智能结构。具体地说，我们将开发一个基于代理的协商框架，用于结构振动控制的大规模主被动混合压电网络(APPN)的稳健设计。该框架旨在帮助设计者做出高层设计决策(例如，电路拓扑的选择)，并分析冲突的设计目标之间的权衡，其中包括处理模型不确定性的健壮性要求。研究任务包括方法论开发、系统分析和实验研究。该教育计划的目标是将这项研究与宾夕法尼亚州立大学的各种教育项目相结合，并对学生的学习产生广泛的影响。其意义和影响如下：(A)这项研究将是探索利用信息技术优化定制大规模机电耦合智能结构系统的可行性的开创性工作，该系统考虑了设计不确定性、权衡和电路拓扑选择。(B)调查将对基于代理的技术产生重大影响，因为它解决了一个结构化的协作代理团队之间的谈判这一日益重要的问题。它可以增加代理团队的可扩展性，使其能够自适应，以避免分布式决策等复杂领域中的认知过载。(C)这项研究将对许多工程系统产生广泛影响。汽车、航空航天、制造、仪器仪表和许多其他行业将受益于根据此次调查结果开发的振动控制技术。(D)教育工作将对教导下一代工程师和资讯科技从业员利用现代电脑技术解决具不明朗因素和互相矛盾的设计要求的大型复杂工程问题产生广泛影响。

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.