A Data-driven Adaptive Controller Reconfiguration for Fault Mitigation: A Passivity Approach
Hasan Zakeri, Panos J. Antsaklis

TL;DR
This paper introduces a data-driven, passive fault detection and controller reconfiguration method that relies solely on input-output data, enabling quick adaptation to faults or attacks without detailed system knowledge.
Contribution
It proposes a novel, system-agnostic algorithm for fault and attack detection and controller reconfiguration based on passivity, applicable across diverse systems without extensive tuning.
Findings
Effective detection of faults and attacks using input-output data
Rapid controller reconfiguration without system internal knowledge
Applicable to various systems with minimal modifications
Abstract
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.
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Taxonomy
TopicsFault Detection and Control Systems · Advanced Control Systems Optimization · Smart Grid Security and Resilience
