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This paper proposes a stable data-driven supervisory algorithm to switch between various model-based adaptive control schemes. The optimal switching is achieved ...
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PDF | In this paper, we present an overview of adaptive control by contrasting model-based approaches with data-driven approaches. Indeed, we propose to.
Intelligent switching between multiple model-based adaptive controllers using data-driven control theory · K. RajagopalS. Balakrishnan. Computer Science ...
This paper is a brief survey on the existing problems and challenges inherent in model-based control (MBC) theory, and some important issues in the analysis ...
Mar 13, 2018 · In this paper, we present an overview of adaptive control by contrasting model-based approaches with data-driven approaches.
This paper is a brief survey on the existing problems and challenges inherent in model-based control (MBC) theory, and some important issues in the analysis ...
This study extends the current normative models, which primarily optimize prediction, by conceptualizing neurons as optimal feedback controllers. We posit that ...
... Adaptive Control with Applications. London, UK: Springer. Page 15. Survey References. Classical model-based adaptive control. ▫ Fradkov A., Miroshnik I ...
Missing: switching | Show results with:switching
Jan 1, 2022 · A careful reading of data-driven control shows that in most cases, the data are used to extract such a model and then repeat model-based control ...
Mar 3, 2021 · A further advantage in using data-driven controls over model-based ones arises when dealing with massive networks featuring a small fraction of ...