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Towards In-Network Industrial Feedback Control

Jan Rüth, René Glebke, Klaus Wehrle, Vedad Causevic, Sandra Hirche
2018 Proceedings of the 2018 Morning Workshop on In-Network Computing - NetCompute '18  
Further, we highlight the demands of control towards communication to build more involved and complex in-network controllers.  ...  In this paper, we show how to unify control and communication by offloading delay sensitive control tasks from the cloud to local network elements -a previously unexplored area for in-network processing  ...  IN-NETWORK FEEDBACK CONTROL Ever growing demands in flexibility challenge classical control approaches.  ... 
doi:10.1145/3229591.3229592 dblp:conf/sigcomm/RuthGWCH18 fatcat:vlyibltarfeovhp5vqc2edcbmi

Incremental Organizational Learning from Multilevel Information Sources: Evidence for Cross-Level Interactions

Andreas Schwab
2007 Organization science (Providence, R.I.)  
It focuses on the adjustment of a single key innovation trait-the decision to maintain or change farm team network size (the number of minor league teams in a major league club's farm team network).  ...  This paper investigates incremental organizational learning in the context of the farm team system -a human resource innovation that emerged in the U.S. baseball industry during the 1920s.  ...  changes of network size towards the industry average.  ... 
doi:10.1287/orsc.1060.0238 fatcat:pf6jjz37lvdozmj2xdo3sf5yze

On replacing PID controller with ANN controller for DC motor position control

Muhammad Aamir
2013 International Journal of Research Studies in Computing  
Simulation is performed in MATLAB after training the neural network (supervised learning) and it is shown that results are acceptable and applicable in process industry for reference control applications  ...  In this paper, another controller based on Artificial Neural Network (ANN) control is examined to replace the PID controller for controlling the angular position of a DC motor to drive a robot arm.  ...  Negative Feedback with PID Control DC motors are quite popular in process industry due to various control characteristics.  ... 
doi:10.5861/ijrsc.2013.236 fatcat:fqd3cvjmdjbcpliv4fyfkpunqi

Effect of Stabilization Control on Cooperative Work between Remote Robot Systems with Force Feedback

Qin Qian, Yuichi Toyoda, Yutaka Ishibashi, Pingguo Huang, Yuichiro Tateiwa
2020 International Journal of Mechanical Engineering and Robotics Research  
Experimental results illustrate that the switching control is effective in the cooperative work, and the average work time increases as the network delay becomes larger.   ...  We investigate the effect of the switching control on cooperative work between two remote robot systems with force feedback.  ...  PC for the haptic interface device and PC for the industrial robot are linked to each other by switching hubs over a network. II. REMOTE ROBOT SYSTEMS WITH FORCE FEEDBACK A.  ... 
doi:10.18178/ijmerr.9.3.415-420 fatcat:iqzxxazq3jcwtj6h5luxjnrvr4

Smart plant operations: Vision, progress and challenges

Panagiotis D. Christofides, James F. Davis, Nael H. El-Farra, Don Clark, Kevin R. D. Harris, Jerry N. Gipson
2007 AIChE Journal  
like to thank all contributors to the NSF Cyber-infrastructure workshop 2 and Professors Prodromos Daoutidis (University of Minnesota) and Prashant Mhaskar (McMaster University, Canada) for providing feedback  ...  in the context of distributed control strategies (e.g., 15 ), and also toward accounting for the core network dynamics during transitions at a supervisory control level (e.g., 16, 17, 18 ).  ...  At the process control level, local area networks handle the real-time feedback control of process units via wired and/ or wireless communication.  ... 
doi:10.1002/aic.11320 fatcat:ovlwoeoqcnfhphfwpmzfw6aloe

Preface to Vol. 1 Issue No. 2

G. Rigatos, P. Siano
2015 Intelligent Industrial Systems  
The second issue of the journal comprises articles that provide solutions to nontrivial problems of modelling and control for intelligent industrial systems.  ...  Such vehicles can modify their functional features in a manner that optimally adapts to a varying environment, can cooperate towards the accomplishment of common tasks, can succeed better self-localization  ...  Senatore, a feedback controller is designed based on multiple-model Predictive Controller (mMPC).  ... 
doi:10.1007/s40903-015-0022-9 fatcat:gbv5xaw33nfkbjgwfnhep75v4i

Network Industries in the New Economy

John McGee, Tanya Sammut-Bonnici
2020 Figshare  
In this paper we discuss two propositions: the supply and demand of knowledge, and network externalities.  ...  The paper looks at what is potentially the most powerful economic mechanism: positive feedback, alternatively known as demand-side increasing returns, network effects, or network externalities.  ...  economy is driven by the economics of positive feedback in network industries.  ... 
doi:10.6084/m9.figshare.12251165.v1 fatcat:5oqetje2cfhkzkmaxmmqnylrby

Embracing AI in 5G-Advanced Towards 6G: A Joint 3GPP and O-RAN Perspective [article]

Xingqin Lin, Lopamudra Kundu, Chris Dick, Soma Velayutham
2022 arXiv   pre-print
Standardization, defining functionality and interfaces, is essential for driving the industry alignment required to deliver the mass adoption of AI in 5G-Advanced and 6G.  ...  This article provides a joint 3GPP and O-RAN perspective on the state of the art in AI adoption in mobile communication systems, including the fundamentals of 5G architecture and its evolution towards  ...  The journey towards large-scale AI adoption in 6G should be taken with a joint effort across the standards bodies to avoid diverging directions and industry fragmentation.  ... 
arXiv:2209.04987v1 fatcat:eum3bgqdgzguxd2zb3x427vjry

Operability Evaluation of Shared Controlled Multiple Cooperative Robots

Gilgueng HWANG, Hideki HASHIMOTO
2006 Transactions of the Society of Instrument and Control Engineers  
This paper proposes a novel force feedback strategy for shared controlled SMMS telemicromanipulation system which was developed in our laboratory.  ...  A novel single-master multi-slave (SMMS) human-robot shared control framework which is implemented in the RT-Middleware was proposed.  ...  force feedback, Case 5: Position control without force feedback, Case 6: Humanrobot shared control with force feedback) imental environment.  ... 
doi:10.9746/sicetr1965.42.304 fatcat:j2ssq43yljfwtlewn5rpgya5vy

From conventional control to autonomous intelligent methods

1996 IEEE Control Systems  
A simultaneous development was the feedback control of industrial processes, and the most no- control the speed of a steam engine.  ...  of society, industry, and mankind in general.  ... 
doi:10.1109/37.537211 fatcat:j2hc4uibongavgwehlvbtt65iq

Emerging technologies in transmission networks

Miroslav Begovic
2008 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century  
SIPS Traditional scheme requirements evolve towards SIPS Fast changing operating conditions in power systems Fast changing operating conditions in power systems and quickly changing enabling technologies  ...  the industry worldwide from the industry worldwide Protection and control coordination studies Protection and control coordination studies Coordination with other Protection and Control Coordination with  ...  are important important IEEE can greatly support/facilitate/provide IEEE can greatly support/facilitate/provide feedback/enable standards introduction in support of feedback/enable standards introduction  ... 
doi:10.1109/pes.2008.4596960 fatcat:k3gtowyzifeffmhaawtlsvvaoi

Multi-Loop Feedback Hierarchy Involving Human Workers in Manufacturing Processes

Heimo Gursch, David Cemernek, Roman Kern
2017 Mensch & Computer  
The data flow in the feedback loops is further characterised by features commonly associated with Big Data.  ...  This paper identifies and describes four feedback loops in manufacturing and organises them in terms of their time horizon and degree of automation versus human involvement.  ...  The work has been performed in the project Power Semiconductor and Electronics Manufacturing 4.0 (Semi40), under grant agreement No 692466.  ... 
doi:10.18420/muc2017-ws04-0391 dblp:conf/mc/GurschCK17 fatcat:tvkqaaxkmzemfiahj7c23psroi

Control Societies and Platform Logic

Alex Williams
2015 New Formations  
We argue that in maintaining a concept of control-as-homeostatic feedback modulation, cybernetic readings tend to ignore the constructive, enabling dimension of control.  ...  It examines Deleuze's control society through the philosophy of cybernetics, situating a restrictive interpretation with reference to Norbert Weiner's theory of control systems in animals and machines.  ...  Positive feedback will tend towards "run away" dynamics, with negative feedback instead tending towards minor shifts around a stable centre.  ... 
doi:10.3898/newf:84/85.10.2015 fatcat:tx6wlxsbxrbixntnhqieeb3roi

An Extensive Research Survey on Networked Control Systems (NCS)

Anupama S.
2018 Communications on Applied Electronics  
These communication networks include both the feedback and control signals exchanged among the system components like controller, sensors, actuators, etc.  ...  The NCSs exhibits its applicability in the wide range of applications in signal processing and industrial control.  ...  STATE OF THE ART IN CURRENT RESEARCH This section idealizes the current researches held towards the Networked Control System (NCS) design.  ... 
doi:10.5120/cae2018652784 fatcat:5tfkr3o7pbbxhfrqcge3lsc6zm

Other titles from iSTE in Systems and Industrial Engineering - Robotics [chapter]

2018 Advanced Techniques and Technology of Computer-Aided Feedback Control  
for Innovative Transports Set -Volume 4) AUBRY Jean-François, BRINZEI Nicolae Systems Dependability Assessment: Modeling with Graphs and Finite State Automata DECLERCK Philippe Discrete Event Systems in  ...  Paulo Mechatronics 2016 ANDRÉ Michel, SAMARAS Zissis Energy and Environment (Research for Innovative Transports Set -Volume 1) BLANQUART Corinne, CLAUSEN Uwe, JACOB Bernard Towards Innovative Freight  ... 
doi:10.1002/9781119452959.oth fatcat:c6ajlzjysrgfflc7ltkoli5uky
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