Extremum seeking control: analysis, design and applications

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，许多工程应用程序无法使用最优控制。极值搜索保证了最优方法的性能，但具有实时实施的好处和对系统知识的非常宽松的要求。通过更好地理解极值搜索算法，从车辆动力学到减排再到制造工艺的应用程序将受益于更高水平的性能和健壮性。

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.