Extremum seeking control: analysis, design and applications

极值搜索控制：分析、设计与应用

• 批准号: DP0985388
• 负责人: Prof Dragan Nesic
• 金额: $ 23.89万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2009
• 资助国家: 澳大利亚
• 起止时间: 2009-03-22 至 2012-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0985388
• 关键词: Extremum; seeking; control; analysis; design

Optimal control is one of the central pillars in the field of automatic control, but is prevented from use in many engineering applications due to the computational complexity and system knowledge requirements typically associated with the technique. Extremum seeking promises the performance of an optimal approach, but with the benefit of real time implementation and very relaxed requirements on the system knowledge. Through improved understanding of extremum seeking algorithms, applications from vehicle dynamics to emissions reduction to manufacturing processes will benefit with greater levels of performance and robustness.

最优控制是自动控制领域的核心支柱之一，但由于与该技术相关的计算复杂性和系统知识要求，在许多工程应用中无法使用。极值搜索保证了最优方法的性能，但具有实时性和对系统知识要求非常宽松的优点。通过提高对极值搜索算法的理解，从车辆动力学到减排到制造过程的应用将受益于更高水平的性能和鲁棒性。