Results 51 to 60 of about 192,666 (197)
Iterative Learning Control with Forgetting Factor for Urban Road Network
Journal of Control Science and Engineering, 2017 In order to improve the traffic condition, a novel iterative learning control (ILC) algorithm with forgetting factor for urban road network is proposed by using the repeat characteristics of traffic flow in this paper.
Tianyi Lan, Fei Yan, Hui Lin
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An Improved Hybrid Beamforming Algorithm for Fast Target Tracking in Satellite and V2X Communication
Remote Sensing, 2023 Autonomous remote sensing systems establish communication links between nodes. Ensuring coverage and seamless communication in highly dense environments is not a trivial task as localization, separation, and tracking of targets, as well as interference ...
Aral Ertug Zorkun +2 more
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Sampling Evolving Ego-Networks with forgetting Factor
2016 17th IEEE International Conference on Mobile Data Management (MDM), 2016 Dynamically evolving networks get humongous in no time. Usually, sampling techniques are used to create representative specimens of such large scale socio-centric temporal networks. Likewise, the size of ego networks gets larger over a period of evolution. Which is why, there is a need to sample ego-centric networks while maintaining the importance and
Shazia Tabassum, Joao Gama
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Absolute finite differences based variable forgetting factor RLS algorithm
IET Signal Processing, 2022 Adaptive signal processing requires an efficient non‐stationarity detector. Most of the known non‐stationarity detection algorithms are based on residual statistics.
Slobodan Drašković +2 more
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电力工程技术, 2023 Power battery performance plays a pivotal role in the comprehensive performance of electric vehicles, and thus accurate identification of the parameters of the lithium-ion battery model is crucial for subsequent state-of-charge estimation and state-of ...
ZHU Weiping +3 more
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Linearly Constrained RLS Algorithm with Variable Forgetting Factor for DS-CDMA Systems [PDF]
[[abstract]]In this paper we present a novel linearly constrained (LC) RLS algorithm with variable forgetting factor (VFF), and apply to the DS-CDMA system for suddenly joined narrowband interference suppression. Under Rayleigh fading channel environment,
[[corresponding]]Chern, Shiunn-Jang +1 more
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Directional Forgetting for Stable Co-Adaptation in Myoelectric Control
Sensors, 2019 Conventional myoelectric controllers provide a mapping between electromyographic signals and prosthetic functions. However, due to a number of instabilities continuously challenging this process, an initial mapping may require an extended calibration ...
Dennis Yeung +2 more
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Frontiers in Psychology, 2022 This study constructs a theoretical model to test and prove that organizational forgetting influences cross-boundary innovation and testifies to the moderating role of Institutionalized organizational mission in the said relationship.
Xiaoyu Qu, Adnan Khan, Sajjad Ali
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Iterative Learning and Extremum Seeking for Repetitive Time-Varying Mappings
, 2017 In this paper, we develop an extremum seeking control method integrated with iterative learning control to track a time-varying optimizer within finite time.
Allgöwer, Frank +4 more
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On-chip Few-shot Learning with Surrogate Gradient Descent on a Neuromorphic Processor [PDF]
, 2019 Recent work suggests that synaptic plasticity dynamics in biological models of neurons and neuromorphic hardware are compatible with gradient-based learning (Neftci et al., 2019).
Neftci, Emre +3 more
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