Abstract: This paper investigates finite-time trajectory tracking control based on discrete-time sliding mode of underactuated surface vessels with compound disturbances comprising model parameter ...
Gear-obsessed editors choose every product we review. We may earn commission if you buy from a link. Why Trust Us? Here’s what you’ll learn when you read this story: Time crystals oscillate in ...
1 Inner Mongolia Wuhai Ultra High Voltage Power Supply Bureau, Wuhai, China 2 Inner Mongolia Electric Power Research Institute, Hohhot, China The increasing penetration of distributed generation and ...
Abstract: This paper presents an area- and power-efficient Current-to-Digital Converter (CDC) system for bioelectric current sensor applications. To address the requirements of high resolution, ...
Zeroing neural network (ZNN) is viewed as an effective solution to time-varying nonlinear equation (TVNE). In this paper, a further study is shown by proposing a novel combined discrete-time ZNN ...
Researchers demonstrate a novel method for transforming continuous time crystals into discrete ones using subharmonic injection locking, offering new insights into symmetry breaking and control in ...
A robust Python package for automated trend labelling in time series data with a strong financial flavour, implementing SOTA trend labelling algorithms (bibliography) with returns estimation and ...
This paper proposes an analytic representation of sequence-space Jacobians in heterogeneous agent models with aggregate shocks in continuous time. Our approach is based on a pen-and-paper perturbation ...
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...
This paper presents an advanced control strategy for DC-DC buck converters utilizing Non-Minimal State Space (NMSS) representation combined with Proportional-Integral-Plus (PIP) control, optimized ...
Masked diffusion has emerged as a promising alternative to autoregressive models for the generative modeling of discrete data. Despite its potential, existing research has been constrained by overly ...
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