@inproceedings{b32ce46722734c7dbfa946d3b70dd570,
title = "Dynamic Feedback Strategies Design of Discrete-Time Game-Based Control Systems",
abstract = "In this paper, a reformulated game-based control system (GBCS) involving a hierarchical decision-making structure with multiple regulators at the upper level and multiple rational agents as followers at the lower level is proposed and its optimal feedback strategies are designed. The regulators are regarded as global controllers that make decisions first, aiming to optimize the macro-performance from their own perspective, and then the followers act and optimize their own objective functions to reach a possible equilibrium. The equilibrium of the GBCS is analyzed within finite horizons with all players' information structure given by a dynamic feedback information pattern. An algorithm is proposed to find the optimal dynamic feedback strategies of all players. Conditions for the existence of the equilibrium are also derived. An illustrative simulation example is given to further demonstrate the effectiveness of the developed algorithm.",
keywords = "Dynamic feedback, Riccati equation, game-base control system, hierarchical structure",
author = "Xinjiang Cai and Qing Gao and Pan Peng",
note = "Publisher Copyright: {\textcopyright} 2023 Technical Committee on Control Theory, Chinese Association of Automation.; 42nd Chinese Control Conference, CCC 2023 ; Conference date: 24-07-2023 Through 26-07-2023",
year = "2023",
doi = "10.23919/CCC58697.2023.10239862",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "8076--8081",
booktitle = "2023 42nd Chinese Control Conference, CCC 2023",
address = "美国",
}