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Networked control system

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also be easily modified or upgraded by adding sensors, actuators, and controllers to them with relatively low cost and no major change in their structure. Furthermore, featuring efficient sharing of data between their controllers, NCSs are able to easily fuse global information to make intelligent decisions over large physical spaces.
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Their potential applications are numerous and cover a wide range of industries, such as space and terrestrial exploration, access in hazardous environments, factory automation, remote diagnostics and troubleshooting, experimental facilities, domestic robots, aircraft, automobiles, manufacturing plant
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Advent and development of the Internet combined with the advantages provided by NCS attracted the interest of researchers around the globe. Along with the advantages, several challenges also emerged giving rise to many important research topics. New control strategies, kinematics of the actuators in
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The most important feature of an NCS is that it connects cyberspace to physical space enabling the execution of several tasks from long distance. In addition, NCSs eliminate unnecessary wiring reducing the complexity and the overall cost in designing and implementing the control systems. They can
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A most critical and important issue surrounding the design of distributed NCSs with the successively increasing complexity is to meet the requirements on system reliability and dependability, while guaranteeing a high system performance over a wide operating range. This makes network based fault
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monitoring, nursing homes and tele-operations. While the potential applications of NCSs are numerous, the proven applications are few, and the real opportunity in the area of NCSs is in developing real-world applications that realize the area's potential.
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makes the analysis and design of an NCS complex, since it imposes additional time delays in control loops or possibility of packages loss. Depending on the application, time-delays could impose severe degradation on the system performance.
108: 149: 32:. The defining feature of an NCS is that control and feedback signals are exchanged among the system's components in the form of information packages through a network. 306:
Pin, G.; Parisini, T. (2011). "Networked Predictive Control of Uncertain Constrained Nonlinear Systems: Recursive Feasibility and Input-to-State Stability Analysis".
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Dong, J.; Kim, J. (2012). "Markov-chain-based Output Feedback Method for Stabilization of Networked Control Systems with Random Time Delays and Packet Losses".
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to design a controller used in a NCS. Many other researchers provided solutions using concepts from several control areas such as robust control, optimal
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control strategies, real-time information collection and efficient processing of sensors data are some of the relative topics studied in depth.
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Co-design Framework to Integrate Communication, Control, Computation and Energy Management in Networked Control Systems (FeedNetback Project)
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the systems, reliability and security of communications, bandwidth allocation, development of data communication protocols, corresponding
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Y. Q. Wang, H. Ye and G. Z. Wang. Fault detection of NCS based on eigendecomposition, adaptive evaluation and adaptive threshold.
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Martins, N. C.; Dahleh, M. A.; Elia, N. (2006). "Feedback stabilization of uncertain systems in the presence of a direct link".
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detection and diagnosis techniques, which are essential to monitor the system performance, receive more and more attention.
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To alleviate the time-delay effect, Y. Tipsuwan and M-Y. Chow, in ADAC Lab at North Carolina State University, proposed the
270:"Robust stability of packetized predictive control of nonlinear systems with disturbances and Markovian packet losses" 407:
Mahajan, A.; Martins, N. C.; Rotkowitz, M. C.; Yuksel, S. "Information structures in optimal decentralized control".
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O. Imer, Optimal estimation and control under communication network constraints, UIUC Ph.D. dissertation, 2005.
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M. Mesbahi and M. Egerstedt. Graph Theoretic Methods in Multiagent Networks, Princeton University Press, 2010.
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Hespanha, J. P.; Naghshtabrizi, P.; Xu, Y. (2007). "A Survey of Recent Results in Networked Control Systems".
130: 152:(GSM) methodology and applied it in iSpace. S. Munir and W.J. Book (Georgia Institute of Technology) used a 480: 50: 217:
D. Hristu-Varsakelis and W. S. Levine (Ed.): Handbook of Networked and Embedded Control Systems, 2005.
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The functionality of a typical NCS is established by the use of four basic elements:
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S. Tatikonda, Control under communication constraints, MIT Ph.D dissertation, 2000.
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and an energy regulator to perform teleoperation through the Internet.
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wherein the control loops are closed through a communication
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http://dspace.mit.edu/bitstream/1721.1/16755/1/48245028.pdf
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The insertion of the communication network in the feedback
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Proceedings of the IEEE Conference on Decision and Control
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International Journal of Control, Automation and Systems
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Advanced Diagnosis Automation and Control Lab (NCSU)
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https://sites.google.com/site/mesbahiegerstedt/home
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http://decision.csl.uiuc.edu/~imer/phdsmallfont.pdf
77: 377: 467: 171:, model predictive control, fuzzy logic etc. 360:, vol. 80, no. 12, pp. 1903–1911, 2007. 267: 305: 327: 296: 242: 115: 119: 111:(WNCS) is often used in this connection. 419: 468: 380:IEEE Transactions on Automatic Control 308:IEEE Transactions on Automatic Control 163:K.C. Lee, S. Lee and H.H. Lee used a 59:, to perform the control commands and 65:, to enable exchange of information. 53:, to provide decision and commands, 13: 268:Quevedo, D. E.; Nesic, D. (2012). 211: 14: 492: 449: 109:wireless networked control system 358:International Journal of Control 289:10.1016/j.automatica.2012.05.046 78:Types of communication networks 196: 185: 1: 178: 7: 35: 10: 497: 434:10.1007/s12555-012-0519-x 253:10.1109/JPROC.2006.887288 150:gain scheduler middleware 47:, to acquire information, 320:10.1109/TAC.2010.2051091 95:Wireless networks, e.g. 18:networked control system 392:10.1109/tac.2006.871940 231:Proceedings of the IEEE 125: 116:Problems and solutions 123: 63:Communication network 86:, e.g. CAN, LON etc. 481:Control engineering 169:stochastic control 126: 369:978-1-4008-3535-5 165:genetic algorithm 488: 445: 428:(5): 1013–1022. 416: 403: 341: 331: 302: 300: 283:(8): 1803–1811. 274: 264: 246: 205: 200: 194: 189: 496: 495: 491: 490: 489: 487: 486: 485: 466: 465: 452: 272: 244:10.1.1.112.3798 214: 212:Further reading 209: 208: 201: 197: 190: 186: 181: 154:Smith predictor 131:fault detection 118: 80: 38: 12: 11: 5: 494: 484: 483: 478: 476:Control theory 464: 463: 458: 451: 450:External links 448: 447: 446: 417: 404: 386:(3): 438–447. 375: 361: 354: 348: 342: 303: 298:1959.13/933538 265: 237:(1): 138–162. 226: 213: 210: 207: 206: 195: 183: 182: 180: 177: 135:fault tolerant 124:iSpace concept 117: 114: 113: 112: 93: 87: 79: 76: 67: 66: 60: 54: 48: 37: 34: 26:control system 9: 6: 4: 3: 2: 493: 482: 479: 477: 474: 473: 471: 462: 459: 457: 454: 453: 443: 439: 435: 431: 427: 423: 418: 414: 410: 405: 401: 397: 393: 389: 385: 381: 376: 374: 370: 366: 362: 359: 355: 353: 349: 347: 343: 339: 335: 330: 329:10044/1/15547 325: 321: 317: 313: 309: 304: 299: 294: 290: 286: 282: 278: 271: 266: 262: 258: 254: 250: 245: 240: 236: 232: 227: 224: 223:0-8176-3239-5 220: 216: 215: 204: 199: 193: 188: 184: 176: 172: 170: 166: 161: 159: 158:Kalman filter 155: 151: 146: 143: 138: 136: 132: 122: 110: 106: 102: 98: 94: 92: 88: 85: 82: 81: 75: 71: 64: 61: 58: 55: 52: 49: 46: 43: 42: 41: 33: 31: 27: 23: 19: 425: 421: 415:: 1291–1306. 412: 408: 383: 379: 357: 314:(1): 72–87. 311: 307: 280: 276: 234: 230: 198: 187: 173: 162: 147: 142:control loop 139: 127: 72: 68: 39: 21: 17: 15: 107:. The term 51:Controllers 470:Categories 277:Automatica 179:References 84:Fieldbuses 239:CiteSeerX 97:Bluetooth 57:Actuators 442:16994214 338:14365396 192:ADAC Lab 91:Ethernet 36:Overview 261:5660618 45:Sensors 30:network 24:) is a 440:  400:620399 398:  367:  336:  259:  241:  221:  203:iSpace 105:Z-Wave 103:, and 101:Zigbee 438:S2CID 396:S2CID 334:S2CID 273:(PDF) 257:S2CID 413:2012 365:ISBN 219:ISBN 156:, a 133:and 430:doi 388:doi 324:hdl 316:doi 293:hdl 285:doi 249:doi 89:IP/ 22:NCS 472:: 436:. 426:10 424:. 411:. 394:. 384:51 382:. 371:. 332:. 322:. 312:56 310:. 291:. 281:48 279:. 275:. 255:. 247:. 235:95 233:. 99:, 16:A 444:. 432:: 402:. 390:: 340:. 326:: 318:: 301:. 295:: 287:: 263:. 251:: 225:. 20:(

Index

control system
network
Sensors
Controllers
Actuators
Communication network
Fieldbuses
Ethernet
Bluetooth
Zigbee
Z-Wave
wireless networked control system

fault detection
fault tolerant
control loop
gain scheduler middleware
Smith predictor
Kalman filter
genetic algorithm
stochastic control
ADAC Lab
iSpace
ISBN
0-8176-3239-5
CiteSeerX
10.1.1.112.3798
doi
10.1109/JPROC.2006.887288
S2CID

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