Adaptive distributed unknown input observers for interconnected linear descriptor systems
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2016.1173264
Abstract: ABSTRACT We propose an adaptive distributed algorithm for distributed observers of linear time-invariant descriptor systems. In the proposed algorithm, the interconnection gains of the resulting distributed unknown input observers are adjusted adaptively and the adaptation… read more here.
Keywords: unknown input; input observers; adaptive distributed; distributed unknown ... See more keywords
Random Partition Based Adaptive Distributed Kernelized SVM for Big Data
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3204114
Abstract: In this paper, we present a distributed classification technique for big data by efficiently using distributed storage architecture and data processing units of a cluster. While handling such large data, the existing approaches consider specific… read more here.
Keywords: big data; distributed kernelized; random partition; adaptive distributed ... See more keywords
The Cooperative Output Regulation Problem of Discrete-Time Linear Multi-Agent Systems by the Adaptive Distributed Observer
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2016.2592802
Abstract: In this technical note, we first present an adaptive distributed observer for a discrete-time leader system. This adaptive distributed observer will provide, to each follower, not only the estimation of the leader's signal, but also… read more here.
Keywords: cooperative output; adaptive distributed; discrete time; distributed observer ... See more keywords
Adaptive Distributed RDF Graph Fragmentation and Allocation based on Query Workload
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2018.2841389
Abstract: As massive volumes of Resource Description Framework (RDF) data are growing, designing a distributed RDF database system to manage them is necessary. In designing this system, it is very common to partition the RDF data… read more here.
Keywords: fragmentation allocation; adaptive distributed; distributed rdf; fragmentation ... See more keywords
Neural Adaptive Distributed Formation Control of Nonlinear Multi-UAVs With Unmodeled Dynamics.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3157079
Abstract: The problem of neural adaptive distributed formation control is investigated for quadrotor multiple unmanned aerial vehicles (UAVs) subject to unmodeled dynamics and disturbance. The quadrotor UAV system is divided into two parts: the position subsystem… read more here.
Keywords: formation control; unmodeled dynamics; neural adaptive; adaptive distributed ... See more keywords
Fuzzy Adaptive Distributed Event-Triggered Consensus Control of Uncertain Nonlinear Multiagent Systems
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2018.2812216
Abstract: This paper studies the fuzzy adaptive distributed event-based control scheme for a class of uncertain nonlinear multiagent systems in strict feedback form. A novel distributed adaptive event-trigger condition and event-triggered controller are designed simultaneously. The… read more here.
Keywords: adaptive distributed; control; uncertain nonlinear; distributed event ... See more keywords
Adaptive and Distributed Radio Resource Allocation in Densely Deployed Wireless LANs: A Game-Theoretic Approach
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2018.2789362
Abstract: As increasing numbers of access points (APs) are deployed in wireless local area networks (WLANs), they experience severe channel interference. Thus, a well-defined resource management scheme for APs should be devised. Undoubtedly, a centralized and… read more here.
Keywords: densely deployed; distributed radio; resource; adaptive distributed ... See more keywords
Trinity: Neural Network Adaptive Distributed Parallel Training Method Based on Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15040108
Abstract: Deep learning, with increasingly large datasets and complex neural networks, is widely used in computer vision and natural language processing. A resulting trend is to split and train large-scale neural network models across multiple devices… read more here.
Keywords: neural network; trinity; adaptive distributed; method ... See more keywords