Results 241 to 250 of about 3,837,082 (288)

Federated multimodal AI for precision-equitable diabetes care. [PDF]

Front Digit Health
Bai B, Liu X, Li H.
europepmc   +1 more source

Artificial intelligence in mitotic checkpoint modeling: transforming our understanding of cellular division through machine learning and predictive biology. [PDF]

Brief Bioinform
Ibrahim B.
europepmc   +1 more source

Self-driving bioprinting laboratories. [PDF]

Biofabrication
Liu S, Kaur N, Song DH, Moses JC, Ozbolat IT.   +4 more
europepmc   +1 more source

Intelligent Data-Driven Control Calibration

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One-shot data-driven controller certification

ISA Transactions, 2020
We present a one-shot, purely data-driven, method for controller certification. The method is based on an analysis presented in previous works, where theoretical results have been given showing that certification can be obtained by the estimation of the H∞-norm of a very specific transfer matrix, but without actually pursuing this approach. Accordingly,
Gustavo R, Gonçalves da Silva, Alexandre S, Bazanella, Lucíola, Campestrini   +2 more
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Data-driven controller validation

IFAC Proceedings Volumes, 2009
This paper proposes a data-driven test for closed-loop stability. The test is based on a non-conservative stability condition that can be verified without having to actually implement the controller. It uses a set of measurements from the plant but does not rely on a plant model. For infinite data length, a validated controller is guaranteed to stabilize
Klaske van Heusden, Alireza Karimi, Dominique Bonvin   +2 more
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Towards Private Data-driven Control

2020 59th IEEE Conference on Decision and Control (CDC), 2020
Control as a Service (CaaS) is becoming a reality– particularly in the case of building automation and smart grid management. Often, the control algorithms in CaaS focus on controlling the client’s system directly from input-output data, since the system’s model might be private or unavailable.
Andreea B. Alexandru, Anastasios Tsiamis, George J. Pappas   +2 more
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Data-Driven Indirect Iterative Learning Control

IEEE Transactions on Cybernetics
In this work, a data-driven indirect iterative learning control (DD-iILC) is presented for a repetitive nonlinear system by taking a proportional-integral-derivative (PID) feedback control in the inner loop. A linear parametric iterative tuning algorithm for the set-point is developed from an ideal nonlinear learning function that exists in theory by ...
Ronghu Chi, Huaying Li, Na Lin, Biao Huang   +3 more
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Data-Driven PID Controller

2012
Since most processes have nonlinearities, controller design schemes to deal with such systems are required. On the other hand, PID controllers have been widely used for process systems. Therefore, in this chapter, a new design scheme of PID controllers based on a data-driven (DD) technique is explained for nonlinear systems.
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