Research on data driven adaptive berthing method and technology
Sign Up to like & getrecommendations! Published in 2021 at "Ocean Engineering"
DOI: 10.1016/j.oceaneng.2021.108620
Abstract: Abstract In this paper, a hardware architecture of real-time dynamic data collection is designed, and the method of direct motion control based on the feedback data is used to realize the automatic berthing of the… read more here.
Keywords: research data; method; driven adaptive; adaptive berthing ... See more keywords
MTF driven adaptive multiscale bilateral filtering for pansharpening
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2019.1590874
Abstract: ABSTRACT The recently proposed Bilateral Filter Luminance Proportional (BFLP) method extracts the high-frequency details from panchromatic (Pan) image via a multiscale bilateral filter and adds them proportionally to the multispectral (MS) image. Although this approach… read more here.
Keywords: adaptive multiscale; mtf driven; bilateral filter; multiscale bilateral ... See more keywords
Data-Driven Adaptive Tracking Control of Unknown Autonomous Marine Vehicles
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2872779
Abstract: This paper is concerned with data-driven adaptive tracking control for unknown autonomous marine vehicles (AMVs) with uncertainties and disturbances. By deploying the data-driven technique and observer design, an equivalent data model of the AMV is… read more here.
Keywords: control unknown; data driven; tracking control; adaptive tracking ... See more keywords
User-Driven Adaptive Sampling for Massive Internet of Things
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3011496
Abstract: Energy conservation techniques are crucial to achieving high reliability in the Internet of Things (IoT) services, especially in the Massive IoT (MIoT), which stringently requires cost-effective and low-energy consumption for battery-powered devices. Most of the… read more here.
Keywords: user driven; internet things; adaptive sampling; driven adaptive ... See more keywords
Output-Feedback Flocking Control of Multiple Autonomous Surface Vehicles Based on Data-Driven Adaptive Extended State Observers
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2020.3009992
Abstract: This article addresses an output-feedback flocking control problem for a swarm of autonomous surface vehicles (ASVs) to follow a leading ASV guided via a parameterized path. The leading and following ASVs are subject to completely… read more here.
Keywords: output feedback; control; driven adaptive; data driven ... See more keywords
Frequency-Domain Data-Driven Adaptive Iterative Learning Control Approach: With Application to Wafer Stage
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2020.3022503
Abstract: The feedforward control is becoming increasingly important in ultra-precision stages. However, the conventional model-based methods cannot achieve expected performance in new-generation stages since it is hard to obtain the accurate plant model due to the… read more here.
Keywords: frequency; data driven; adaptive iterative; iterative learning ... See more keywords
Data-Driven Adaptive Virtual Metrology for Yield Prediction in Multibatch Wafers
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3162268
Abstract: Virtual metrology (VM) is widely used for yield management and control in semiconductor manufacturing owing to its high real-time inspection, low cost, and convenient maintenance. However, the multimodal characteristics of batch processes are ignored in… read more here.
Keywords: driven adaptive; virtual metrology; prediction; metrology ... See more keywords
Optimal Tracking Control of Heterogeneous MASs Using Event-Driven Adaptive Observer and Reinforcement Learning.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3208237
Abstract: This article considers the output tracking control problem of nonidentical linear multiagent systems (MASs) using a model-free reinforcement learning (RL) algorithm, where partial followers have no prior knowledge of the leader's information. To lower the… read more here.
Keywords: driven adaptive; mass using; control; tracking control ... See more keywords