A survey on applications of agent technology in industrial process control

IEEE Transactions on Industrial Informatics

Volumn 7, Issue 4, 2011, Pages 570-581

  Metzger, Mieczyslaw ^a   Polaków, Grzegorz ^a  

^a SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Agents and multiagents systems; distributed artificial intelligence; distributed control systems; industrial applications; process industry

Indexed keywords

AGENT BASED; AGENT TECHNOLOGY; AGENT-BASED CONTROL; BIOTECHNOLOGICAL PROCESS; CONTROL INSTRUMENTATION; DISTRIBUTED ARTIFICIAL INTELLIGENCE; INDUSTRIAL COMMUNITIES; INDUSTRIAL CONTROLS; INDUSTRIAL PROCESS CONTROL; INDUSTRIAL PROCESSS; LARGE PARTS; MANUFACTURING DOMAINS; MULTI-AGENTS SYSTEMS; PROCESS AUTOMATION; PROCESS INDUSTRIES; SUPERVISORY CONTROL; TECHNOLOGY ADOPTION; TECHNOLOGY APPLICATION; TECHNOLOGY SUPPORT;

ALGORITHMS; DISTRIBUTED PARAMETER CONTROL SYSTEMS; INDUSTRIAL APPLICATIONS; INDUSTRY; MANUFACTURE; MULTI AGENT SYSTEMS; RESEARCH; SURVEYS; TECHNOLOGY;

PROCESS CONTROL;

EID: 81255144085     PISSN: 15513203     EISSN: None     Source Type: Journal    
DOI: 10.1109/TII.2011.2166781     Document Type: Review

References (91)

1. M. Wooldridge and N. R. Jennings, "Intelligent agents: Theory and practice," Knowl. Eng. Rev., vol. 10, no. 2, pp. 115-152, Jun. 1995.
2. H. S. Nwana, "Software agents: An overview," Knowl. Eng. Rev., vol. 11, no. 3, pp. 205-244, Sep. 1996.
3. H. Van Dyke Parunak, ""Go to the ant": Engineering principles from natural multi-agent systems," Ann. Oper. Res., vol. 75, pp. 69-101, Jan. 1997.
4. N. Jennings, K. Sycara, and M. Wooldridge, "A roadmap of agent research and development," Auton. Agent. Multi-Ag., vol. 1, no. 1, pp. 7-38, Mar. 1998.
5. H. Parunak, J. Sauter, M. Fleischer, and A. Ward, "The RAPPID project: Symbiosis between industrial requirements and MAS research," Auton. Agent. Multi-Ag., vol. 2, no. 2, pp. 111-140, June 1999.
6. F. Zambonelli and A. Omicini, "Challenges and research directions in agent-oriented software engineering," Auton. Agent. Multi-Ag., vol. 9, no. 3, pp. 253-283, Nov. 2004.
7. L. Panait and S. Luke, "Cooperative multi-agent learning: The state of the art," Auton. Agent. Multi-Ag., vol. 11, no. 3, pp. 387-434, Nov. 2005.
8. R. Brennan, "Toward real-time distributed intelligent control: A survey of research themes and applications," IEEE Trans. Syst. Man, Cybern., C, vol. 37, no. 5, pp. 744-765, Sep. 2007.
9. P. Vrba et al., "Rockwell automation's holonic and multiagent control systems compendium," IEEE Trans. Syst. Man, Cybern., C, vol. 41, no. 1, pp. 14-30, Jan. 2011.
10. A. Colombo, R. Schoop, and R. Neubert, "An agent-based intelligent control platform for industrial holonic manufacturing systems," IEEE Trans. Ind. Electron., vol. 53, no. 1, pp. 322-337, Feb. 2006.
11. N. Jennings and S. Bussmann, "Agent-based control systems: Why are they suited to engineering complex systems?," IEEE Contr. Syst. Mag., vol. 23, no. 3, pp. 61-73, 2003.
12. P. Leitão, "Agent-based distributed manufacturing control: A state-ofthe-art survey," Eng. Appl. Artif. Intel., vol. 22, no. 7, pp. 979-991, Oct. 2009.
13. W. Lepuschitz, A. Zoitl, M. Valle'e, and M. Merdan, "Toward self-reconfiguration of manufacturing systems using automation agents," IEEE Trans. Syst. Man, Cybern., C, vol. 41, no. 1, pp. 52-69, Jan. 2011.
14. C.-H. Yang and V. Vyatkin, "Design and validation of distributed control with decentralized intelligence in process industries: A survey," in Proc. 6th IEEE Int. Conf. Ind. Inform. (INDIN 2008), 2008, pp. 1395-1400.
15. T. Sauter, "Integration aspects in automation-A technology survey," in Proc. 10th IEEE Conf. Emerging Technol. Factory Autom., 2005, vol. 2, pp. 255-263.
16. I. Terzic, A. Zoitl, M. Rooker, T. Strasser, P. Vrba, and V. Mařík, , V. Marík, Ed. et al., "Usability of multi-agent based control systems in industrial automation," in Holonic and Multi-Agent Systems for Manufacturing. Berlin, Germany: Springer-Verlag, 2009, vol. 5696, LNCS, pp. 25-36.
17. T. Wagner, , R. Kowalczyk, Ed. et al., "An agent-oriented approach to industrial automation systems," in Agent Technologies, Infrastructures, Tools, and Applications for E-Services. Berlin, Germany: Springer-Verlag, 2003, vol. LNCS, 2592, pp. 314-328.
18. F.-L. Lian, J. Yook, D. Tilbury, and J. Moyne, "Network architecture and communication modules for guaranteeing acceptable control and communication performance for networked multi-agent systems," IEEE Trans. Ind. Informat., vol. 2, no. 1, pp. 12-24, Feb. 2006.
19. D. Buse and Q. Wu, "Mobile agents for remote control of distributed systems," IEEE Trans. Ind. Electron., vol. 51, no. 6, pp. 1142-1149, Dec. 2004.
20. S. Theiss, V. Vasyutynskyy, and K. Kabitzsch, "Software agents in industry: A customized framework in theory and praxis," IEEE T. Ind. Informat., vol. 5, no. 2, pp. 147-156, May 2009.
21. F. Ben Hmida, W. L. Chaari, and M. Tagina, , N. T. Nguyen, Ed., "Performance evaluation of multiagent systems: Communication criterion," in Agent and Multi-Agent Systems: Technologies and Applications. Berlin, Germany: Springer-Verlag, 2008, vol. 4953, LNCS, pp. 773-782.
22. M. Lobashov, A. Bratukhin, T. Sauter, P. Palensky, and D. Dietrich, "Vertical integration in distributed automation environment," E & I Elektrotechnik und Informationstechnik, vol. 123, no. 5, pp. 166-171, 2006.
23. J. Simensen and B. A. Foss, "A concept for modelling batch plant operation," Comput. Chem. Eng., vol. 20, no. 2, pp. S1245-S1250, 1996.
24. J. R. Velasco, J. C. González, L. Magdalena, and C. A. Iglesias, "Multiagent-based control systems: A hybrid approach to distributed process control," Control Eng. Pract., vol. 4, no. 6, pp. 839-845, Jun. 1996.
25. M. Sànchez, U. Cortés, J. Lafuente, I. R. Roda, and M. Poch, "DAI-DEPUR: An integrated and distributed architecture for wastewater treatment plants supervision," Artif. Intell. Eng., vol. 10, no. 3, pp. 275-285, Aug. 1996.
26. A. Stothert and I. MacLeod, "Distributed intelligent control system for a continuous-state plant," IEEE Trans. Syst. Man, Cybern., B, vol. 27, no. 3, pp. 395-401, Jun. 1997.
27. R. Batres, M. Lu, and Y. Naka, "An agent-based environment for operational design," Comput. Chem. Eng., vol. 21, no. 1, pp. S71-S76, 1997.
28. Y. Qian, Q. Huang, W. Lin, and X. Li, "An object/agent based environment for the computer integrated process operation system," Comput. Chem. Eng., vol. 24, no. 2, pp. 457-462, Jul. 2000.
29. S. Harp, S. Brignone, B. Wollenberg, and T. Samad, "SEPIA a simulator for electric power industry agents," IEEE Contr. Syst. Mag., vol. 20, no. 4, pp. 53-69, 2000.
30. T. Oyabu, T. Misawa, H. Kimura, and H. Nanto, "Proposition of sensor agent for estimation of air-pollution direction and its experimental simulation," Mat. Sci. Eng. C, vol. 12, no. 1, pp. 89-95, Aug. 2000.
31. S. Shin, T. Kwon, G.-Y. Jo, Y. Park, and H. Rhy, "An experimental study of hierarchical intrusion detection for wireless industrial sensor networks," IEEE Trans. Ind. Informat., vol. 6, no. 4, pp. 744-757, Nov. 2010.
32. G. Cena, A. Valenzano, and S. Vitturi, "Introducing intelligent sensors in presses for plastic material injection," IEEE Trans. Ind. Informat., vol. 1, no. 2, pp. 136-148, Feb. 2005.
33. A. Van Breemen and T. de Vries, "An agent-based framework for designing multi-controller systems," in Proc. 5th Int. Conf. Practical Appl. Intell. Agents Multi-Agent Technol., 2000, pp. 219-235.
34. A. J. N. Van Breemen and T. J. A. De Vries, "Design and implementation of a room thermostat using an agent-based approach," Control Eng. Pract., vol. 9, no. 3, pp. 233-248, Mar. 2001.
35. G. Acampora and V. Loia, "Fuzzy control interoperability and scalability for adaptive domotic framework," IEEE Trans. Ind. Informat., vol. 1, no. 2, pp. 97-111, May 2005.
36. I. Seilonen, K. Koskinen, T. Pirttioja, P. Appelqvist, and A. Halme, "Reactive and deliberative control and cooperation in multi-agent system based process automation," in Proc. IEEE Int. Symp. Comput. Intell. Robot. Autom. (CIRA 2005), 2005, pp. 469-474.
37. F. Maturana et al., "Agent virtual machine for automation controllers: Example application: Shipboard automation," Robot. CIM-Int. Manuf., vol. 24, no. 5, pp. 616-624, Oct. 2008.
38. K. H. Van Dam, M. Houwing, Z. Lukszo, and I. Bouwmans, "Agentbased control of distributed electricity generation with micro combined heat and power-Cross-sectoral learning for process and infrastructure engineers," Comput. Chem. Eng., vol. 32, no. 1, pp. 205-217, Jan. 2008.
39. E. Tatara, ?I. Birol, F. Teymour, and A. Çinar, "Agent-based control of autocatalytic replicators in networks of reactors," Comput. Chem. Eng., vol. 29, no. 4, pp. 807-815, Mar. 2005.
40. M. Du, W. Su, and T. Fan, "A research on the open MAS cooperative control mechanism based on multi-fieldbus environment," in Proc. Int. Conf. Wireless Commun., Netw. Mobile Comput. (WiCom'07), 2007, pp. 3088-3092.
41. W. Zeiler et al., , A. Håkansson, Ed. et al., "Multi-agent system process control ontology," in Agent and Multi-Agent Systems: Technologies and Applications. Berlin, Germany: Springer-Verlag, 2009, vol. 5559, LNCS, pp. 263-272.
42. W. Lepuschitz, G.Koppensteiner,M. Barta, T. T. Nguyen, and C. Reinprecht, "Implementation of automation agents for batch process automation," in Proc. IEEE Int. Conf. Ind. Technol. (ICIT 2010), 2010, pp. 524-529.
43. V. Machado, A. Neto, and J. de Melo, "A neural network multiagent architecture applied to industrial networks for dynamic allocation of control strategies using standard function blocks," IEEE Trans. Ind. Electron., vol. 57, no. 5, pp. 1823-1834, May 2010.
44. T. Pirttioja, A. Pakonen, I. Seilonen, A. Halme, and K. Koskinen, "Multi-agent based information access services for condition monitoring in process automation," in Proc. 3rd IEEE Int. Conf. Ind. Inform. (INDIN'05), 2005, pp. 240-245.
45. I. Seilonen, T. Pirttioja, and K. Koskinen, "Extending process automation systems with multi-agent techniques," Eng. Appl. Artif. Intell., vol. 22, no. 7, pp. 1056-1067, Oct. 2009.
46. D. Choinski, M. Metzger, W. Nocon, and G. Polaków, , Y. Y. Luo, Ed., "Cooperative Validation in Distributed Control Systems Design," in Cooperative Design, Visualization, and Engineering. Berlin, Germany: Springer-Verlag, 2007, vol. 4674, LNCS, pp. 280-289.
47. M. Metzger and G. Polaków, , V. Mařík, V. Vyatkin, and A. W. Colombo, Eds., "Holonic Multiagent-Based System for Distributed Control of Semi-industrial Pilot Plants," in Holonic and Multi-Agent Systems for Manufacturing. Berlin, Germany: Springer-Verlag, 2007, vol. 4659, LNCS, pp. 338-347.
48. D. Choinski, M. Metzger, and W. Nocon, , V. Mařík, T. Strasser, and A. Zoitl, Eds., "MAS-Based Cooperative Control for Biotechnological Process-A Case Study," in Holonic and Multi-Agent Systems for Manufacturing. Berlin, Germany: Springer-Verlag, 2009, vol. 5696, LNCS, pp. 175-182, LNCS 5696.
49. V. Marik and D. McFarlane, "Industrial adoption of agent-based technologies," IEEE Intell. Syst., vol. 20, no. 1, pp. 27-35, 2005.
50. I. Guilherme, R. Pedrosanto, A. Teixeira, C. Morooka, and C. Sierra, "A multiagent architecture for supervisory and control system," in Proc. Int. Conf. Comput. Intell. Modelling Control Autom., 2008, pp. 98-103.
51. N. Aissani, B. Beldjilali, and D. Trentesaux, "Dynamic scheduling of maintenance tasks in the petroleum industry: A reinforcement approach," Eng. Appl. Artif. Intel., vol. 22, no. 7, pp. 1089-1103, Oct. 2009.
52. Z. Hongwei, Q. Yiming, Z. Jiye, and Z. Yuanheng, "Based on multi-agent model for grinding process control research," in Proc. 5th Int. Conf. Frontier of Comput. Sci. Technol. (FCST), 2010, pp. 576-581.
53. A. Yang et al., "A multi-agent system to facilitate component-based process modeling and design," Comput. Chem. Eng., vol. 32, no. 10, pp. 2290-2305, Oct. 2008.
54. W. Hairui and Z. Yong, "Multi-agent based chemical plant process monitoring and management system," in Proc. 4th Int. Conf. Wireless Commun., Netw. Mobile Comput. (WiCOM'08), 2008, pp. 1-4.
55. Y. Seng Ng and R. Srinivasan, "Multi-agent based collaborative fault detection and identification in chemical processes," Eng. Appl. Artif. Intell., vol. 23, no. 6, pp. 934-949, Sept. 2010.
56. K. Ghosh, S. Natarajan, and R. Srinivasan, "Decision fusion in distributed multi agent process supervisory system," in Proc. 2010 Int. Conf. Netw., Sensing Control (ICNSC), 2010, pp. 183-188.
57. Y. Gao, Z. Shang, and A. Kokossis, "Agent-based intelligent system development for decision support in chemical process industry," Expert Syst. Appl., vol. 36, no. 8, pp. 11099-11107, Oct. 2009.
58. F. Maturana, D. Carnahan, and H. Kenwood, , S. Y. Nof, Ed., "Distributed Agent Software for Automation," in Springer Handbook of Automation. Berlin, Germany: Springer-Verlag, 2009, pt. C, pp. 469-486.
59. S. Syafiie, F. Tadeo, and E. Martinez, "Model-free learning control of neutralization processes using reinforcement learning," Eng. Appl. Artif. Intell., vol. 20, no. 6, pp. 767-782, Sept. 2007.
60. J. Yang, L. Yang, T. Zhao, and Z. Jia, "Automatic control system of water conservancy project model based on multi agent," in Proc. 2nd Int. Workshop Knowledge Discovery and Data Mining (WKDD 2009), 2009, pp. 349-352.
61. E. J. González et al., "AMAS implementation for system identification and process control," Asian J. Control, vol. 8, no. 4, pp. 417-423, 2006.
62. V. Tan, D. Yoo, J. Shin, and M. Yi, "A multiagent system for hierarchical control and monitoring," J. Univers. Comput. Sci., vol. 15, no. 13, pp. 2503-2523, 2009.
63. C. Lo, Y. Wong, and A. Rad, "Intelligent system for process supervision and fault diagnosis in dynamic physical systems," IEEE Trans. Ind. Electron., vol. 53, no. 2, pp. 581-592, Apr. 2006.
64. A. Romanenko, L. O. Santos, and P. A. Afonso, "Application of agent technology concepts to the design of a fault-tolerant control system," Control Eng. Pract., vol. 15, no. 4, pp. 459-469, Apr. 2007.
65. J. Dong, Y. Yin, and I. K. Peng, "Industrial process coordinated and controlled based on multi-agent technology," Syst. Eng.-Theory Practice, vol. 28, no. 10, pp. 119-124, Oct. 2008.
66. C. Foreman and R. Ragade, "Coordinated optimization at a hydro-generating plant by software agents," IEEE Trans. Contr. Syst. Technol., vol. 17, no. 1, pp. 89-97, Jan. 2009.
67. H. Kim and S. Kim, , A. K. Ghose, G. Governatori, and R. Sadananda, Eds., "Multi-agent based incineration process control system with qualitative model," in Agent Computing and Multi-Agent Systems. : Springer-Verlag, 2009, vol. 5044, LNCS, pp. 372-379.
68. K. Fischer, S. Jacobi, C. Diehl, and C. Theis, "Multiagent technologies for steel production and control," in Proc. IEEE/WIC/ACM Int. Conf. Intell. Agent Technol. (IAT 2004), 2004, pp. 555-558.
69. K. Hall, R. Staron, and P. Vrba, , V. Marík, Ed. et al., "Experience with holonic and agent-based control systems and their adoption by industry," in Holonic and Multi-Agent Systems for Manufacturing. Berlin, Germany: Springer-Verlag, 2005, vol. 3593, LNCS, pp. 1-10.
70. A. Luder, A. Klostermeyer, J. Peschke, A. Bratoukhine, and T. Sauter, "Distributed automation: PABADIS versus HMS," IEEE Trans. Ind. Informat., vol. 1, no. 1, pp. 31-38, Feb. 2005.
71. V. Vyatkin, J. Christensen, and J. Lastra, "OOONEIDA: An open, object-oriented knowledge economy for intelligent industrial automation," IEEE Trans. Ind. Informat., vol. 1, no. 1, pp. 4-17, Feb. 2005.
72. Y. Xu, R. Song, L. Korba, L.Wang, W. Shen, and S. Lang, "Distributed device networks with security constraints," IEEE Trans. Ind. Informat., vol. 1, no. 4, pp. 217-225, Nov. 2005.
73. Q. Wu, D. Buse, P. Sun, and J. Fitch, "An architecture for e-automation," Comput. Control Eng. J., vol. 14, no. 2, pp. 38-43, 2003.
74. Q. Memon and H. Rehman, "Intelligent approach towards network communications for process control," in Proc. 11th IEEE Symp. Comput. Commun. (ISCC'06), 2006, pp. 681-686.
75. J. Lee and P. Hsu, "Design and implementation of the SNMP agents for remote monitoring and control via UML and petri nets," IEEE Trans. Control Syst. Technol., vol. 12, no. 2, pp. 293-302, Mar. 2004.
76. S. Katare and V. Venkatasubramanian, "An agent-based learning framework for modeling microbial growth," Eng. Appl. Artif. Intel., vol. 14, no. 6, pp. 715-726, Dec. 2001.
77. D. Filev, R. Chinnam, F. Tseng, and P. Baruah, "An industrial strength novelty detection framework for autonomous equipment monitoring and diagnostics," IEEE Trans. Ind. Informat., vol. 6, no. 4, pp. 767-779, Nov. 2010.
78. A. Prayati, A. Stathaki, E. Furusjo, and R. King, "A decision support system with distributed agents for large-scale process control," in Proc. Mediterranean Conf. Control Autom. (MED'07), 2007, pp. 1-6.
79. A. Sasa, M. Juric, and M. Krisper, "Service-oriented framework for human task support and automation," IEEE Trans. Ind. Informat., vol. 4, no. 4, pp. 292-302, Nov. 2008.
80. V. V. Tan, D.-S.Yoo, and M.-J.Yi, , T. D. Bui, Ed. et al., "Amultiagentsystem framework for hierarchical control and monitoring of complex process control systems," in Intelligent Agents and Multi-Agent Systems. Berlin, Germany: Springer-Verlag, 2008, vol. 5357, LNCS, pp. 381-388.
81. Z. Rabinovich and N. R. Jennings, "A hybrid controller based on the egocentric perceptual principle," Robot. Auton. Syst., vol. 58, no. 9, pp. 1039-1048, Sep. 2010.
82. S. Balasubramanian, R. W. Brennan, and D. H. Norrie, "An architecture for metamorphic control of holonic manufacturing systems," Comput. Ind., vol. 46, no. 1, pp. 13-31, Aug. 2001.
83. G. Polaków and M. Metzger, , V. Mařík, T. Strasser, and A. Zoitl, Eds., "Design and Implementation of LabVIEW-Based IEC61499 Compliant Device," in Holonic and Multi-Agent Systems for Manufacturing. Berlin, Germany: Springer-Verlag, 2009, vol. 5696, LNCS, pp. 183-192.
84. J. Fuertes, M. Domínguez, P. Reguera, M. Prada, I. Díaz, and A. Cuadrado, "Visual dynamic model based on self-organizing maps for supervision and fault detection in industrial processes," Eng. Appl. Artif. Intell., vol. 23, no. 1, pp. 8-17, 2010.
85. C. McGreavy, X. Z. Wang, M. L. Lu, M. Zhang, and S. H. Yang, "Objects, agents and work flow modelling for concurrent engineering process design," Comput. Chem. Eng., vol. 20, no. 2, pp. S1167-S1172, 1996.
86. P. Z. Maguire, A. Struthers, D. M. Scott, and W. R. Paterson, "The use of agents both to represent and to implement process engineering models," Comput. Chem. Eng., vol. 22, no. 1, pp. S571-S578, Mar. 1998.
87. S. Lefebvre, "Dynamic output compensation between selected channels in power systems. Part 1. The framework," Int. J. Elec. Power, vol. 22, no. 3, pp. 155-163, 2000.
88. S. Lefebvre, "Dynamic output compensation between selected channels in power systems. Part 2. Applications," Int. J. Elec. Power, vol. 22, no. 3, pp. 165-178, 2000.
89. H. A. Gabbar, S. Shinohara, Y. Shimada, and K. Suzuki, "Experiment on distributed dynamic simulation for safety design of chemical plants," Simul. Model. Pract. Th., vol. 11, no. 2, pp. 109-123, Apr. 2003
90. G. Polaków and M. Metzger, , A. Håkansson, Ed. et al., "Agent-based framework for distributed real-time simulation of dynamical systems," in Agent and Multi-Agent Systems: Technologies and Applications. Berlin, Germany: Springer-Verlag, 2009, vol. 5559, LNCS, pp. 213-222.
91. A. W. Colombo, "Industrial agents: Towards collaborative production-automation,-management and-organization?," IEEE Ind. Electron. Soc. Newsletter, vol. 52, no. 4, pp. 17-18, Dec. 2005.