Data-Efficient Active Weighting Algorithm for Composite Adaptive Control Systems

• 成果类型: Article
• 署名作者: Kim, Seong-hun; Lee, Hanna; Cho, Namhoon; Kim, Youdan
• 署名单位: Seoul National University (SNU); Cranfield University
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2022.3197702
• 发表日期: 2023
• 页码: 3086-3090
• 关键词: Eigenvalues and eigenfunctions; Weight measurement; stacking; Numerical simulation; Numerical models; Lyapunov methods; estimation; composite adaptive control; Parameter Estimation; rank-one update

摘要

We propose an active weighting algorithm for composite adaptive control to reduce the state and estimate errors while maintaining the estimation quality. Unlike previous studies that construct the composite term by simply stacking, removing, and pausing observed data, the proposed method efficiently utilizes the data by providing a theoretical set of weights for observations that can actively manipulate the composite term to have desired characteristics. As an example, a convex optimization formulation is provided, which maximizes the minimum eigenvalue while keeping other constraints, and an illustrative numerical simulation is also presented.