That admission is what some in the field call recursive self-improvement (RSI), the point at which large language models ...
Abstract: This paper investigates the secure state estimation problem for time-varying singularly perturbed discrete sequential systems (SPDSSs) under bandwidth-constrained and multichannel-enabled ...
Abstract: In this article, the state estimation problem is investigated for permanent magnet synchronous motors with sensor degradations under the encoding–decoding scheme. To reduce the network ...
Dual Set-Membership State Estimation for Power Distribution Networks Under Event-Triggered Mechanism
This article is concerned with the set-membership state estimation problem for power distribution networks (PDNs) over a resource-constrained communication network under the influence of unknown but ...
PESTO is a widely applicable and highly customizable toolbox for parameter estimation in MathWorks MATLAB. It offers state-of-the art algorithms for optimization and uncertainty analysis, which work ...
In this paper, we present the implementation of two types of Bayesian inference problems to demonstrate the potential of building probabilistic algorithms in hardware using single set of building ...
Battery management systems (BMS) must estimate the state-of-charge (SOC) of the battery accurately to prolong its lifetime and ensure a reliable operation. Since batteries have a wide range of ...
Department of Instrumentation Engineering, Madras Institute of Technology Campus, Anna University, Chennai, 600004, India Department of Chemical Engineering, Indian Institute of Technology Bombay, ...
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