Abstract:The paper proposes a novel framework for state observer design, in which learning-based observers are incorporated. The aim of the method is to provide a framework, which is able to guarantee the limitation of the observation error, even if the error of the learning-based observer under all scenarios cannot be verified. The framework is based on the robust H∞ design method, which is able to provide guarantees on the resulted observer. Moreover, the observer design process is extended with a controller design, … Show more
“…The paper 'Design Framework for Achieving Guarantees with Learning-Based Observers' presented by Németh et al [2] proposes a novel framework for the design of learning-based observers. The purpose of the method is to guarantee the reduction in the observation error, even if the learning-based observer is not examined in all vehicle maneuvers.…”
“…The paper 'Design Framework for Achieving Guarantees with Learning-Based Observers' presented by Németh et al [2] proposes a novel framework for the design of learning-based observers. The purpose of the method is to guarantee the reduction in the observation error, even if the learning-based observer is not examined in all vehicle maneuvers.…”
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