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2020 Index IEEE Transactions on Signal and Information Processing over Networks Vol. 6

2020 IEEE Transactions on Signal and Information Processing over Networks  
., +, TSIPN 2020 605-616 Spectral Graph Based Vertex-Frequency Wiener Filtering for Image and Graph Signal Denoising.  ...  ., +, TSIPN 2020 580-591 Spectral Graph Based Vertex-Frequency Wiener Filtering for Image and Graph Signal Denoising.  ... 
doi:10.1109/tsipn.2021.3050691 fatcat:fygxby3zrjbhjlid5odg4mdnf4

Backhaul-Constrained Multicell Cooperation Leveraging Sparsity and Spectral Clustering

Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis
2016 IEEE Transactions on Wireless Communications  
Furthermore, decentralized implementations of both unstructured and clustered cooperation schemes are developed for scalability, robustness, and computational efficiency.  ...  Dynamic clustered cooperation, where the sparse equalizer and the cooperation clusters are jointly determined, is solved via alternating minimization based on spectral clustering and group-sparse regression  ...  Decentralized Implementation for Dynamically Clustered MCP In case of dynamic clustering, solving (16) in a decentralized fashion is of interest.  ... 
doi:10.1109/twc.2015.2480392 fatcat:6bieptknaneldb346n5t4vtv64

Backhaul-Constrained Multi-Cell Cooperation Leveraging Sparsity and Spectral Clustering [article]

Swayambhoo Jain, Seung-Jun Kim, Georgios B. Giannakis
2015 arXiv   pre-print
Furthermore, decentralized implementations of both unstructured and clustered cooperation schemes are developed for scalability, robustness and computational efficiency.  ...  Dynamic clustered cooperation, where the sparse equalizer and the cooperation clusters are jointly determined, is solved via alternating minimization based on spectral clustering and group-sparse regression  ...  To solve jointly for dynamic clusters and equalizer weights, a spectral clustering approach is derived [23] . C.  ... 
arXiv:1409.8359v2 fatcat:lw3ncjzjibgfhm3juwh4wzprcm

Influence-based model decomposition for reasoning about spatially distributed physical systems

Chris Bailey-Kellogg, Feng Zhao
2001 Artificial Intelligence  
This paper introduces a novel approach to decentralized control design, influence-based model decomposition, and applies it in the context of thermal regulation.  ...  Influence-based model decomposition uses a decentralized model, called an influence graph, as a key data abstraction representing influences of controls on distributed physical fields.  ...  Decompositions achieve quality comparable to spectral partitioning, but with an influence graph for a small number of probes rather than a full influence graph.  ... 
doi:10.1016/s0004-3702(01)00090-x fatcat:snukysniqveadnxwek53accrs4

2020 Index IEEE Transactions on Cybernetics Vol. 50

2020 IEEE Transactions on Cybernetics  
., Reference Trajectory Reshaping Optimi-zation and Control of Robotic Exoskeletons for Human-Robot Co-Manipulation; TCYB Aug. 2020 3740-3751 Wu, X., Jiang, B., Yu, K., Miao, c., and Chen, H  ...  ., +, Prespecified-Time Cluster Synchronization of Complex Networks via a Smooth Control Approach.  ...  Dynamic Intermittent Feedback Design for H 3 Containment Control on a Directed Graph.  ... 
doi:10.1109/tcyb.2020.3047216 fatcat:5giw32c2u5h23fu4drupnh644a

Table of Contents

2021 IEEE Transactions on Signal Processing  
Tekin A Multi-Taper S-Transform Method for Spectral Estimation of Stationary Processes . . . . . . . . . . . . Z. Huang and Y.-L.  ...  Quek Distributed Auxiliary Particle Filtering With Diffusion Strategy for Target Tracking: A Dynamic Event-Triggered Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tsp.2021.3136798 fatcat:kzkdhzcz3fgx3jv6gfjofooseq

Cluster-based Vibration Analysis of Structures with Graph Signal Processing

Federica Zonzini, Alberto Girolami, Luca De Marchi, Alessandro Marzani, Davide Brunelli
2020 IEEE transactions on industrial electronics (1982. Print)  
Signal processing techniques for inter and intra-cluster data assembly are introduced to allow for a full-scale assessment of the structural integrity.  ...  Deviations in spectral content and mode shape envelopes were correctly revealed regardless of environmental factors and operational uncertainties.  ...  FDD is based on the computation of the Singular Value Decomposition (SVD) of the cross-power spectral density matrix associated to collected data.  ... 
doi:10.1109/tie.2020.2979563 fatcat:zpnljhtg5jaevcgsrg5umqyxhy

2019 Index IEEE Transactions on Computational Social Systems Vol. 6

2019 IEEE Transactions on Computational Social Systems  
., +, TCSS June 2019 582-591 Decentralized On-Demand Energy Supply for Blockchain in Internet of Things: A Microgrids Approach.  ...  ., +, TCSS Dec. 2019 1386-1394 Decentralized On-Demand Energy Supply for Blockchain in Internet of Things: A Microgrids Approach.  ... 
doi:10.1109/tcss.2020.2973787 fatcat:avfkhqjr3vgdvnwjey5jcgrgvq

Scalable Approach to Uncertainty Quantification and Robust Design of Interconnected Dynamical Systems [article]

Andrzej Banaszuk, Vladimir A. Fonoberov, Thomas A. Frewen, Marin Kobilarov, George Mathew, Igor Mezic, Alessandro Pinto, Tuhin Sahai, Harshad Sane, Alberto Speranzon, Amit Surana
2011 arXiv   pre-print
from model uncertainties, necessity to operate in a hostile cluttered urban environment, and the distributed and dynamic nature of the communication and computation resources.  ...  Model-based robust design is difficult because of the complexity of the hybrid dynamic models including continuous vehicle dynamics, the discrete models of computations and communications, and the size  ...  Jerry brought to us the idea of using graph decomposition to break the complexity of computations and analysis in uncertain dynamic networks, the key idea behind the RUM project.  ... 
arXiv:1103.0733v1 fatcat:k3tpcelfcrfw7euwzm2ignq2gu

Scalable approach to uncertainty quantification and robust design of interconnected dynamical systems

Andrzej Banaszuk, Vladimir A. Fonoberov, Thomas A. Frewen, Marin Kobilarov, George Mathew, Igor Mezic, Alessandro Pinto, Tuhin Sahai, Harshad Sane, Alberto Speranzon, Amit Surana
2011 Annual Reviews in Control  
from model uncertainties, necessity to operate in a hostile cluttered urban environment, and the distributed and dynamic nature of the communication and computation resources.  ...  Model-based robust design is difficult because of the complexity of the hybrid dynamic models including continuous vehicle dynamics, the discrete models of computations and communications, and the size  ...  Jerry brought to us the idea of using graph decomposition to break the complexity of computations and analysis in uncertain dynamic networks, the key idea behind the RUM project.  ... 
doi:10.1016/j.arcontrol.2011.03.005 fatcat:5bojnofsbnhslk6hpzjsjiaypm

Dynamical Systems Theory and Algorithms for NP-hard Problems [article]

Tuhin Sahai
2020 arXiv   pre-print
In particular, we summarize a) a novel approach for clustering graphs using the wave equation partial differential equation, b) invariant manifold computations for the traveling salesman problem, c) novel  ...  approaches for building quantum networks of Duffing oscillators to solve the MAX-CUT problem, d) applications of the Koopman operator for analyzing optimization algorithms, and e) the use of dynamical  ...  In [27, 28] , a novel decentralized algorithm for clustering/partitioning graphs that exploits fundamental properties of a dynamically evolving networked system was constructed.  ... 
arXiv:2005.05052v1 fatcat:brzwjfztjrcenmoajvaxosl4ki

A Combined Multiple Model Adaptive Control Scheme and Its Application to Nonlinear Systems With Nonlinear Parameterization

Weitian Chen, Brian D. O. Anderson
2012 IEEE Transactions on Automatic Control  
Author's reply to comments on "Decentralized stabilization of intercon-  ...  ., +, TAC April 2012 889-903 Controllability Aspects of Quantum Dynamics: A Unified Approach for Closed and Open Systems. 3214-3219 Large-scale systems A Decomposition Technique for Nonlinear Dynamical  ...  Ferrante, A., +, TAC Feb. 2012 318-329 Entropy-Based Framework for Dynamic Coverage and Clustering Problems.  ... 
doi:10.1109/tac.2011.2176162 fatcat:2airdooti5fi7kmuozmodywcga

Spectral identification of networks with inputs [article]

Alexandre Mauroy, Julien Hendrickx
2017 arXiv   pre-print
We consider a network of interconnected dynamical systems.  ...  Having recently introduced this approach for autonomous networks of nonlinear systems, we extend it here to treat networked systems with external inputs on the nodes, in the case of linear dynamics.  ...  dynamics, and (3) detect clusters in a random graph with planted partitions.  ... 
arXiv:1709.04153v1 fatcat:onfasqjdsbhltatc3wwx6eofwi

Table of Contents

2021 IEEE Transactions on Signal Processing  
Gabrielaitis Enhanced Time-Frequency Representation and Mode Decomposition . . . . . . . . . . . . . . . . . H. Zhang, G. Hua, and Y.  ...  Mixed Membership Graph Clustering via Systematic Edge Query . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . S. Ibrahim and X.  ... 
doi:10.1109/tsp.2021.3136800 fatcat:zhf46mb3rbdlnnh3u2xizgxof4

2019 Index IEEE Transactions on Fuzzy Systems Vol. 27

2019 IEEE transactions on fuzzy systems  
Boulkroune, A., +, TFUZZ Sept. 2019 1703-1713 Joint Learning of Spectral Clustering Structure and Fuzzy Similarity Matrix of Data.  ...  Gonzalez, A., +, Event-Triggered Fuzzy Filtering for Nonlinear Dynamic Systems via Reduced-Order Approach.  ...  Nonlinear filters Adaptive Neuro-Fuzzy Control for Discrete-Time Nonaffine Nonlinear Systems. Gil  ... 
doi:10.1109/tfuzz.2020.2966828 fatcat:pgfo5oksjrdbpa5s534ky74bie
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