On the Design of Regularized Explicit Predictive Controllers From Input-Output Data

• 成果类型: Article
• 署名作者: Breschi, Valentina; Sassella, Andrea; Formentin, Simone
• 署名单位: Polytechnic University of Milan
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2022.3219346
• 发表日期: 2023
• 页码: 4977-4983
• 关键词: Behavioral systems; Constrained control; data driven control; explicit predictive control

摘要

On the wave of recent advances in data-driven predictive control, we present an explicit controller that can be constructed from a batch of input/output data only. The proposed explicit law is built upon a regularized data-driven control problem, so as to guarantee the uniqueness of the explicit predictive controller and to endow it with noise handling capabilities. The effectiveness of the retrieved explicit law and the repercussions of regularization on noise handling is analyzed on a benchmark simulation example.