Cognitive Preadaptation for Resilient Adaptive Control
Deepan Muthirayan, Pramod P. Khargonekar

TL;DR
This paper introduces a novel preadaptation mechanism for adaptive control systems that enhances resilience and significantly reduces response peaks, demonstrated through flight control simulations.
Contribution
The paper proposes a new preadaptation mechanism that can be integrated with existing adaptive control schemes to improve their robustness and performance.
Findings
Reduced response peak by up to 50% in simulations
Effective across diverse scenarios
Enhances resilience of adaptive control systems
Abstract
In this paper, we investigate a novel control architecture and algorithm for incorporating preadaption functions. We propose a preadaptation mechanism that can augment any adaptive control scheme and improve its resilience. Through simulations of a flight control system we illustrate the effectiveness of the preadaptation mechanism in improving the adaptation. We show that the preadaptation mechanism we propose can reduce the peak of the response by as much as . The scenarios we present also show that the preadaptation mechanism is effective across a wide range of scenarios suggesting that the mechanism is reliable.
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