A Data-driven Adaptive Controller Reconfiguration for Fault Mitigation: A Passivity Approach
For control systems engineers, this provides a practical, model-free approach to fault mitigation that can be applied quickly to various applications.
The paper presents a data-driven algorithm for fault identification and controller reconfiguration that uses only input-output data, enabling rapid response to faults or attacks without requiring system models. The method is demonstrated on examples showing its applicability across different systems.
This paper presents a new data-driven fault identification and controller reconfiguration algorithm. The presented algorithm relies only on the system's input and output data, and it does not require a detailed system description. The proposed algorithm detects changes in the input-output behavior of the system, whether due to faults or malicious attacks and then reacts by reconfiguring the existing controller. This method does not identify the internal structure of the system nor the extent and nature of the attack; hence it can quickly react to faults and attacks. The proposed method can be readily applied to various applications without significant modifications or tuning, as demonstrated by the examples in the paper.