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Control and Communication Challenges in Networked Real-Time Systems
Abstract
A current survey of the emerging field of networked control systems is provided. The aim is to introduce the fundamental issues involved in designing successful networked control systems, to provide a snapshot assessment of the current state of research in the field, to suggest useful future research directions, and to provide a broad perspective on recent fundamental results. Reflecting the goals of the Special Issue itself, this paper surveys relevant work from the areas of systems and control, signal processing, detection and estimation, data fusion, and distributed systems. We discuss appropriate network architectures, topics such as coding for robustly stable control in the presence of time-varying channel capacity, channels with fixed versus adaptively variable data width, issues in data rate problems in nonlinear feedback problems, and problems in routing for stability and performance. In surveying current research on networked control systems, we find that recent theoretical advances and target applications are intimately intertwined. The common goal of papers in the Special Issue which follows is to describe key aspects of this relationship. We also aim to provide a bridge between networked control systems and closely related contemporary work dealing with sensor networks and wireless communication protocols
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Citations
Cites
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Consensus and Cooperation in Networked Multi-Agent Systems
Olfati-Saber, R., Fax, J. A., & Murray, R. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887293 · Cited by 10,522
Coordination of groups of mobile autonomous agents using nearest neighbor rules
Jadbabaie, A., Lin, J., & Morse, A. S. (2003) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2003.812781 · Cited by 8,339
Novel Type of Phase Transition in a System of Self-Driven Particles
Vicsek, T., Czirók, A., Ben-Jacob, E., Cohen, I., & Shochet, O. (1995) · Physical Review Letters · doi:10.1103/physrevlett.75.1226 · Cited by 7,380
A Survey of Recent Results in Networked Control Systems
Hespanha, J. P., Naghshtabrizi, P., & Xu, Y. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887288 · Cited by 3,806
Feedback control of dynamic systems
Kahne, S. (1987) · Automatica · doi:10.1016/0005-1098(87)90017-3 · Cited by 3,450
Stability of networked control systems
(2001) · IEEE Control Systems · doi:10.1109/37.898794 · Cited by 3,445
Digital control of dynamic systems
Franklin, G. F., Workman, M. L., & Powell, D. (1980) · International Linear Collider · Cited by 3,188
Coverage Control for Mobile Sensing Networks
Cortes, J., Martinez, S., Karatas, T., & Bullo, F. (2004) · IEEE Transactions on Robotics and Automation · doi:10.1109/tra.2004.824698 · Cited by 2,710
Feedback Control of Dynamic Systems
Franklin, G. F., Powell, D. J., & Emami-Naeini, A. (1986) · Cited by 2,293
Distributed asynchronous deterministic and stochastic gradient optimization algorithms
Tsitsiklis, J., Bertsekas, D., & Athans, M. (1986) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1986.1104412 · Cited by 1,967
Digital control of dynamic systems
Koivo, H. N. (1983) · Automatica · doi:10.1016/0005-1098(83)90065-1 · Cited by 1,956
Sastry, S. (1999) · Interdisciplinary Applied Mathematics · doi:10.1007/978-1-4757-3108-8 · Cited by 1,764
Stabilization of linear systems with limited information
Elia, N., & Mitter, S. K. (2001) · IEEE Transactions on Automatic Control · doi:10.1109/9.948466 · Cited by 1,687
Control Under Communication Constraints
Tatikonda, S., & Mitter, S. K. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.831187 · Cited by 1,667
Quantized feedback stabilization of linear systems
Brockett, R. W., & Liberzon, D. (2000) · IEEE Transactions on Automatic Control · doi:10.1109/9.867021 · Cited by 1,636
Goodwin, G. C., Graebe, S. F., & Salgado, M. E. (2000) · Prentice Hall PTR eBooks · Cited by 1,465
Foundations of Control and Estimation Over Lossy Networks
Schenato, L., Sinopoli, B., Franceschetti, M., Poolla, K., & Sastry, S. S. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887306 · Cited by 1,421
Layering as Optimization Decomposition: A Mathematical Theory of Network Architectures
Chiang, M., Low, S. H., Calderbank, A. R., & Doyle, J. C. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887322 · Cited by 1,352
Sontag, E. D. (1998) · Texts in Applied Mathematics · doi:10.1007/978-1-4612-0577-7 · Cited by 1,226
Feedback Control Under Data Rate Constraints: An Overview
Nair, G. N., Fagnani, F., Zampieri, S., & Evans, R. J. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887294 · Cited by 1,090
Survey of decentralized control methods for large scale systems
SANDELL, N. R., Varaiya, P. P., Athans, M., & Safonov, M. G. (1978) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1978.1101704 · Cited by 1,068
Nyquist, H. (1932) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1932.tb02344.x · Cited by 977
Wireless Sensor Networks: An Information Processing Approach
Zhao, F., & Guibas, L. J. (2004) · Cited by 959
Recursive state estimation: Unknown but bounded errors and system inputs
Schweppe, F. (1968) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1968.1098790 · Cited by 952
Collective Motion, Sensor Networks, and Ocean Sampling
Leonard, N. E., Paley, D. A., Lekien, F., Sepulchre, R., Fratantoni, D. M., & Davis, R. E. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887295 · Cited by 946
Wong, W. S., & Brockett, R. W. (1999) · IEEE Transactions on Automatic Control · doi:10.1109/9.763226 · Cited by 864
Convergence in Multiagent Coordination, Consensus, and Flocking
Blondel, V. D., Hendrickx, J. M., Olshevsky, A., & Tsitsiklis, J. N. (2006) · Proceedings of the 44th IEEE Conference on Decision and Control · doi:10.1109/cdc.2005.1582620 · Cited by 859
Scheduling of networked control systems
Walsh, G. C., & Ye, H. (2001) · IEEE Control Systems · doi:10.1109/37.898792 · Cited by 816
Computer Controlled Systems: Theory and Design
Taylor, G. E. (1985) · Electronics and Power · doi:10.1049/ep.1985.0203 · Cited by 805
Stabilizing a linear system with quantized state feedback
Delchamps, D. F. (1990) · IEEE Transactions on Automatic Control · doi:10.1109/9.58500 · Cited by 760
Stabilizability of Stochastic Linear Systems with Finite Feedback Data Rates
Nair, G. N., & Evans, R. J. (2004) · SIAM Journal on Control and Optimization · doi:10.1137/s0363012902402116 · Cited by 720
Recursive state estimation for a set-membership description of uncertainty
Bertsekas, D., & Rhodes, I. (1971) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1971.1099674 · Cited by 719
Wireless Sensor Networks: An Information Processing Approach
Mytum-Smithson, J. (2005) · Sensor Review · doi:10.1108/sr.2005.08725bae.001 · Cited by 686
(2015) · A History of Law and Lawyers in the GATT/WTO · doi:10.30875/eeedee20-en · Cited by 590
Stability of Model-Based Networked Control Systems With Time-Varying Transmission Times
Montestruque, L. A., & Antsaklis, P. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834107 · Cited by 554
Self-citationGuest Editorial Special Issue on Networked Control Systems
Antsaklis, P., & Baillieul, J. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.835210 · Cited by 463
Self-citationAn introduction to intelligent and autonomous control
Antsaklis, P. J., & Passino, K. M. (1993) · Kluwer Academic Publishers eBooks · Cited by 383
Self-citationMaxwell, J. C. (1868) · Proceedings of the Royal Society of London · doi:10.1098/rspl.1867.0055 · Cited by 376
Graph rigidity and distributed formation stabilization of multi-vehicle systems
Olfati-Saber, R., & Murray, R. M. (2003) · Proceedings of the 41st IEEE Conference on Decision and Control, 2002. · doi:10.1109/cdc.2002.1184307 · Cited by 368
When Bode Meets Shannon: Control-Oriented Feedback Communication Schemes
Elia, N. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834119 · Cited by 365
The Origins of Feedback Control
Mayr, O. (1970) · Scientific American · doi:10.1038/scientificamerican1070-110 · Cited by 326
Graver, J., Servatius, B., & Servatius, H. (1993) · Graduate Studies in Mathematics · doi:10.1090/gsm/002 · Cited by 315
Antsaklis, P. J. (2000) · Proceedings of the IEEE · doi:10.1109/jproc.2000.871299 · Cited by 294
Self-citationA History of Control Engineering 1930-1955
Bennett, S. (1993) · Institution of Engineering and Technology eBooks · doi:10.1049/pbce047e · Cited by 281
The Emergence of Industrial Control Networks for Manufacturing Control, Diagnostics, and Safety Data
Moyne, J. R., & Tilbury, D. M. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887325 · Cited by 272
Convergence and asymptotic agreement in distributed decision problems
Tsitsiklis, J., & Athans, M. (1984) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1984.1103385 · Cited by 247
A brief history of automatic control
(1996) · IEEE Control Systems · doi:10.1109/37.506394 · Cited by 240
A History of Control Engineering 1800-1930
Bennett, S. (1979) · Institution of Engineering and Technology eBooks · doi:10.1049/pbce008e · Cited by 221
Network-Centric Systems for Military Operations in Urban Terrain: The Role of UAVs
Samad, T., Bay, J. S., & Godbole, D. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887327 · Cited by 191
Information patterns and hedging brockett's theorem in controlling vehicle formations
Baillieul, J., & Suri, A. (2004) · 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475) · doi:10.1109/cdc.2003.1272622 · Cited by 175
Self-citationHuygens, C. (1966) · Cited by 161
Selected Papers on Mathematical Trends in Control Theory
Lefschetz, S., Bellman, R., & Kalaba, R. E. (1965) · Mathematics of Computation · doi:10.2307/2003708 · Cited by 150
Oh, S., Schenato, L., Chen, P. W.-C., & Sastry, S. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887296 · Cited by 144
Information consensus of asynchronous discrete-time multi-agent systems
Fang, L., & Antsaklis, P. J. (2005) · Proceedings of the ... American Control Conference/Proceedings of the American Control Conference · doi:10.1109/acc.2005.1470243 · Cited by 139
Self-citationFundamental Limitations of Disturbance Attenuation in the Presence of Side Information
Martins, N. C., Dahleh, M. A., & Doyle, J. C. (2007) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2006.887898 · Cited by 128
Extracting state information from a quantized output record
Delchamps, D. F. (1989) · Systems & Control Letters · doi:10.1016/0167-6911(89)90102-3 · Cited by 114
Digital Control — A State–Space Approach
Naumovi, M. B. (2000) · Microelectronics Journal · doi:10.1016/s0026-2692(99)00123-8 · Cited by 112
Quantized Stabilization of Linear Systems: Complexity Versus Performance
Fagnani, F., & Zampieri, S. (2004) · IEEE Transactions on Automatic Control · doi:10.1109/tac.2004.834111 · Cited by 108
Natural frames and interacting particles in three dimensions
Justh, E. W., & Krishnaprasad, P. S. (2006) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2005.1582594 · Cited by 105
Closing ranks in vehicle formations based on rigidity
Eren, T., Belhumeur, P. N., & Morse, A. S. (2003) · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · doi:10.1109/cdc.2002.1184306 · Cited by 103
Asynchronous Consensus Protocols: Preliminary Results, Simulations and Open Questions
Fang, L., Antsaklis, P. J., & Tzimas, A. (2006) · Proceedings of the IEEE Conference on Decision & Control, including the Symposium on Adaptive Processes · doi:10.1109/cdc.2005.1582487 · Cited by 75
Self-citationStochastic Strategies for Autonomous Robotic Surveillance
Grace, J., & Baillieul, J. B. (2006) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc.2005.1582488 · Cited by 47
Self-citationBio-Inspired Networks of Visual Sensors, Neurons, and Oscillators
Ghosh, B. K., Polpitiya, A. D., & Wang, W. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2006.887320 · Cited by 11
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Flying Ad-Hoc Networks (FANETs): A survey
Bekmezci, İ., Sahingoz, O. K., & Temel, Ş. (2013) · Ad Hoc Networks · doi:10.1016/j.adhoc.2012.12.004 · Cited by 1,510
Architectures for distributed and hierarchical Model Predictive Control – A review
Scattolini, R. (2009) · Journal of Process Control · doi:10.1016/j.jprocont.2009.02.003 · Cited by 1,293
Networked control systems: a survey of trends and techniques
Zhang, X.-M., Han, Q.-L., Ge, X., Ding, D., Ding, L., Yue, D., & Peng, C. (2020) · IEEE/CAA Journal of Automatica Sinica · doi:10.1109/jas.2019.1911651 · Cited by 959
Survey on Recent Advances in Networked Control Systems
Zhang, X.-M., Han, Q.-L., & Yu, X. (2016) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2015.2506545 · Cited by 771
Recent and Emerging Topics in Wireless Industrial Communications: A Selection
Willig, A. (2008) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2008.923194 · Cited by 656
Metadata
- Authors
- Baillieul, J., & Antsaklis, P. J.
- Venue
- Proceedings of the IEEE
- Published
- 2007-01
- Volume
- 95
- Issue
- 1
- Pages
- 9-28
- ISSN
- 0018-9219 (ISSN-L)
- OpenAlex
- W2019826771
- Cited by
- 924
- References
- 64
- FWCI
- 128.51
- Type
- journal article
- Language
- en
- Open access
- closed
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