Results 21 to 30 of about 271,920 (286)

Control of Multilayer Networks [PDF]

open access: yesScientific Reports, 2016
AbstractThe controllability of a network is a theoretical problem of relevance in a variety of contexts ranging from financial markets to the brain. Until now, network controllability has been characterized only on isolated networks, while the vast majority of complex systems are formed by multilayer networks.
Menichetti, Giulia   +2 more
openaire   +4 more sources

Networked control system – an overview [PDF]

open access: yes, 2015
Networked Control System (NCS) is fetching researchers’ interest from many decades. It’s been used in industry which range from manufacturing, automobile, aviation, aerospace to military.
Asif, Seemal, Webb, Philip
core   +1 more source

Controllability Backbone in Networks

open access: yes2023 62nd IEEE Conference on Decision and Control (CDC), 2023
This paper studies the controllability backbone problem in dynamical networks defined over graphs. The main idea of the controllability backbone is to identify a small subset of edges in a given network such that any subnetwork containing those edges/links has at least the same network controllability as the original network while assuming the same set
Obaid Ullah Ahmad   +2 more
openaire   +2 more sources

Sparse Packetized Predictive Control for Networked Control over Erasure Channels [PDF]

open access: yes, 2013
We study feedback control over erasure channels with packet-dropouts. To achieve robustness with respect to packet-dropouts, the controller transmits data packets containing plant input predictions, which minimize a finite horizon cost function.
Nagahara, Masaaki   +2 more
core   +2 more sources

Control networks and hubs [PDF]

open access: yesPsychophysiology, 2017
AbstractExecutive control functions are associated with frontal, parietal, cingulate, and insular brain regions that interact through distributed large‐scale networks. Here, we discuss how fMRI functional connectivity can shed light on the organization of control networks and how they interact with other parts of the brain.
Gratton, Caterina   +2 more
openaire   +3 more sources

Robust Adaptive Observer-Based Predictive Control for a Non-Linear Delayed Bilateral Teleoperation System

open access: yesIEEE Access, 2022
In this paper, a new robust adaptive nonlinear teleoperation system using an improved extended active observer (IEAOB), adaptive Smith predictor (ASP) and sliding mode control is developed to address the time delay in the communication channels and the ...
Linping Chan   +3 more
doaj   +1 more source

On general systems with network-enhanced complexities [PDF]

open access: yes, 2015
In recent years, the study of networked control systems (NCSs) has gradually become an active research area due to the advantages of using networked media in many aspects such as the ease of maintenance and installation, the large flexibility and the low
Ding, D, Dong, H, Wang, Z
core   +1 more source

Control and Optimization of Network in Networked Control System [PDF]

open access: yesMathematical Problems in Engineering, 2014
In order to avoid quality of performance (QoP) degradation resulting from quality of service (QoS), the solution to network congestion from the point of control theory, which marks departure of our results from the existing methods, is proposed in this paper.
Wang Zhiwen, Sun Hongtao
openaire   +1 more source

Wireless model-based predictive networked control system over cooperative wireless network [PDF]

open access: yes, 2010
Owing to their distributed architecture, networked control systems (NCSs) are proven to be feasible in scenarios where a spatially distributed feedback control system is required. Traditionally, such NCSs operate over real-time wired networks.
Gurbuz, Ozgur   +3 more
core   +2 more sources

Controllability Transition and Nonlocality in Network Control

open access: yesPhysical Review Letters, 2013
A common goal in the control of a large network is to minimize the number of driver nodes or control inputs. Yet, the physical determination of control signals and the properties of the resulting control trajectories remain widely under-explored. Here we show that: (i) numerical control fails in practice even for linear systems if the controllability ...
Sun, Jie, Motter, Adilson E.
openaire   +4 more sources

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