A survey of fault diagnosis for swarm systems

Systems Science and Control Engineering

Volumn 2, Issue 1, 2014, Pages 13-23

  Qin, Liguo ^a   He, Xiao ^a   Zhou, D H ^a  

^a TSINGHUA UNIVERSITY   (China)

Author keywords

Fault diagnosis; Reliability; Scalability; Swarm systems

Indexed keywords

FAILURE ANALYSIS; LEARNING ALGORITHMS; MULTIPURPOSE ROBOTS; RELIABILITY; SCALABILITY; SENSOR NETWORKS;

APPLICATION AREA; DIAGNOSIS ALGORITHMS; FAULT DIAGNOSIS TECHNOLOGY; MULTI-ROBOT SYSTEMS; RELIABILITY AND SAFETIES; SWARM SYSTEMS; UNSOLVED PROBLEMS; VEHICLE FORMATIONS;

FAULT DETECTION;

EID: 84945534048     PISSN: None     EISSN: 21642583     Source Type: Journal    
DOI: 10.1080/21642583.2013.873745     Document Type: Article

References (63)

1. Ardissono, L., Console, L., Goy, A., Petrone, G., Picardi, C., Segnan, M., & Dupr, D. T. (2005, June). Cooperative model-based diagnosis of web services. 16th international workshop on principles of diagnosis (DX 05), Pacific Grove, CA, USA (pp. 125–130).
2. Azizi, S. M., & Khorasani, K. (2009a, March). A distributed Kalman filter for actuator fault estimation of deep space formation flying satellites. Systems conference, 2009 3rd annual IEEE, Vancouver, British Columbia, Canada (pp. 354–359). New York: IEEE.
3. Azizi, S. M., & Khorasani, K. (2009b, August). A hybrid and switching framework for cooperative actuator fault estimation of formation flying satellites in deep space. 7th Asian Control Conference, 2009. ASCC 2009, Hong Kong, China (pp. 1126–1131). New York: IEEE.
4. Barea, R., Bergasa, L. M., Lpez, E., Ocana, M., Schleicher, D., & Len, A. (2009, February). Robotic assistants for health care. IEEE international conference on Robotics and Biomimetics, 2008. ROBIO 2008, Bangkok, Thailand (pp. 1099–1104). New York: IEEE.
5. Barua, A., & Khorasani, K. (2007, October). Intelligent model-based hierarchical fault diagnosis for satellite formations. IEEE international conference on systems, man and cybernetics, 2007. ISIC, Montréal, Quebec, Canada (pp. 3191–3196). New York: IEEE.
6. Barua, A., & Khorasani, K. (2008, December). Multi-level fault diagnosis in satellite formations using fuzzy rule-based reasoning. 2nd International Symposium on Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008, Shenzhen, China (pp. 1–6). New York: IEEE.
7. Barua, A., & Khorasani, K. (2011a). Hierarchical fault diagnosis and fuzzy rule-based reasoning for satellites formation flight. IEEE Transactions on Aerospace and Electronic Systems, 47(4), 2435–2456.
8. Barua, A., & Khorasani, K. (2011b). Hierarchical fault diagnosis and health monitoring in satellites formation flight. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 41(2), 223–239.
9. Beard, R. V. (1971). Failure accommodation in linear systems through self-reorganization. Rept. MVT-71-1. Cambridge, MA: Man Vehicle Lab.
10. Carrasco, R. A., Nnez, F., & Cipriano, A. (2011). Fault detection and isolation in cooperative mobile robots using multi-layer architecture and dynamic observers. Robotica, 29(4), 555–562.
11. Chang, C. W., Chen, C. L., Chang, Y. H., & Tao, C. W. (2010, July). Adaptive fuzzy sliding-mode formation control for second-order multi-agent systems. 2010 International Conference on System Science and Engineering (ICSSE), Taipei, Taiwan (pp. 310–314). New York: IEEE.
12. Cheng, L., Hou, Z. G., Tan, M., & Wang, X. (2011). Necessary and sufficient conditions for consensus of double-integrator multi-agent systems with measurement noises. IEEE Transactions on Automatic Control, 56(8), 1958–1963.
13. Cheng, L., Wang, Y., Hou, Z. G., Tan, M., & Cao, Z. (2012, July). A sampled-data based average consensus protocol for double-integrator multi-agent systems with switching topologies and communication noises. Proceedings of the 10th world congress on intelligent control and automation, Beijing, China (pp. 886–891). New York: IEEE.
14. Chong, C. Y., & Kumar, S. P. (2003). Sensor networks: Evolution, opportunities, and challenges. Proceedings of the IEEE, 91(8), 1247–1256.
15. Daigle, M. J., Koutsoukos, X. D., & Biswas, G. (2007). Distributed diagnosis in formations of mobile robots. IEEE Transactions on Robotics, 23(2), 353–369.
16. Eik Loo, C., Yong Ng, M., Leckie, C., & Palaniswami, M. (2006). Intrusion detection for routing attacks in sensor networks. International Journal of Distributed Sensor Networks, 2(4), 313–332.
17. Fagiolini, A., Babboni, F., & Bicchi, A. (2009, May). Dynamic distributed intrusion detection for secure multi-robot systems. IEEE International Conference on Robotics and Automation, 2009. ICRA’09, Kobe, Japan (pp. 2723–2728). New York: IEEE.
18. Fagiolini, A., Pellinacci, M., Valenti, G., Dini, G., & Bicchi, A. (2008, May). Consensus-based distributed intrusion detection for multi-robot systems. IEEE International Conference on Robotics and Automation, 2008. ICRA 2008, Pasadena, California, USA (pp. 120–127). New York: IEEE.
19. Fagiolini, A., Valenti, G., Pallottino, L., Dini, G., & Bicchi, A. (2007, December). Decentralized intrusion detection for secure cooperative multi-agent systems. 2007 46th IEEE conference on decision and control, New Orleans, Louisiana, USA (pp. 1553–1558). New York: IEEE.
20. Franceschelli, M., Egerstedt, M., & Giua, A. (2008, June). Motion probes for fault detection and recovery in networked control systems. American Control Conference, 2008, Seattle, Washington, USA (pp. 4358–4363). New York: IEEE.
21. Franceschelli, M., Giua, A., & Seatzu, C. (2009, August). Decentralized fault diagnosis for sensor networks. IEEE International Conference on Automation Science and Engineering, 2009. CASE 2009, Bangalore, India (pp. 334–339). New York: IEEE
22. Frank, P. M. (1990). Fault diagnosis in dynamic systems using analytical and knowledge-based redundancy: A survey and some new results. Automatica, 26(3), 459–474.
23. Guo, M., Dimarogonas, D. V., & Johansson, K. H. (2012, June). Distributed real-time fault detection and isolation for cooperative multi-agent systems. American Control Conference (ACC), 2012, Montréal, Canada (pp. 5270–5275). New York: IEEE.
24. Hu, J., & Lin, Y. S. (2010). Consensus control for multi-agent systems with double-integrator dynamics and time delays. Control Theory & Applications, IET, 4(1), 109–118.
25. Ilyas, M., Lee, J. G., & Park, C. G. (2008, August). Federated hybrid extended Kalman filter design for multiple satellites formation flying in LEO. SICE Annual Conference, 2008, Tokyo, Japan (pp. 2595–2600). New York: IEEE
26. Ilyas, M., Lim, J., Lee, J. G., & Park, C. G. (2008, October). Federated unscented Kalman filter design for multiple satellites formation flying in LEO. International Conference on Control, Automation and Systems, 2008. ICCAS 2008, Seoul, Korea (pp. 453–458). New York: IEEE.
27. Izadi, H. A., Gordon, B. W., & Zhang, Y. (2013). Hierarchical decentralized receding horizon control of multiple vehicles with communication failures. IEEE Transactions on Aerospace and Electronic Systems, 49(2), 744–759.
28. Kalech, M., & Kaminka, G. A. (2005, July). Towards model based diagnosis of coordination failures. AAAI, 5, 102–107.
29. Khalil, I., Bagchi, S., & Nina-Rotaru, C. (2005, September). DICAS: Detection, diagnosis and isolation of control attacks in sensor networks. First international conference on security and privacy for emerging areas in communications networks, 2005. SecureComm 2005, Athens, Greece (pp. 89–100). New York: IEEE.
30. Lchevin, N., & Rabbath, C. A. (2007). Robust decentralized fault detection in leader-to-follower formations of uncertain, linearly parameterized systems. Journal of Guidance, Control, and Dynamics, 30(5), 1528–1536.
31. Lchevin, N., & Rabbath, C. A. (2009). Decentralized detection of a class of non-abrupt faults with application to formations of unmanned airships. IEEE Transactions on Control Systems Technology, 17(2), 484–493.
32. Lchevin, N., Rabbath, C. A., & Earon, E. (2007, July). Towards decentralized fault detection in uav formations. American Control Conference, 2007. ACC’07, New York City, USA (pp. 5759–5764). New York: IEEE.
33. Lchevin, N., Rabbath, C. A., Shanmugavel, M., Tsourdos, A., & White, B. A. (2008, June). An integrated decision, control and fault detection scheme for cooperating unmanned vehicle formations. American Control Conference, 2008, Seattle, Washington, USA (pp. 1997–2002). New York: IEEE.
34. Li, Z., Duan, Z., Xie, L., & Liu, X. (2012). Distributed robust control of linear multi-agent systems with parameter uncertainties. International Journal of Control, 85(8), 1039–1050.
35. Meskin, N., & Khorasani, K. (2006, December). Fault detection and isolation of actuator faults in spacecraft formation flight. 2006 45th IEEE conference on decision and control, San Diego, California, USA (pp. 1159–1164). New York: IEEE.
36. Meskin, N., & Khorasani, K. (2009a). Actuator fault detection and isolation for a network of unmanned vehicles. IEEE Transactions on Automatic Control, 54(4), 835–840.
37. Meskin, N., & Khorasani, K. (2009b). Fault diagnosis in a network of unmanned aerial vehicles with imperfect communication channels. AIAA guidance, navigation, and control conference, Chicago, Illinois, USA.
38. Meskin, N., & Khorasaniy, K. (2009c). Fault detection and isolation of discrete-time Markovian jump linear systems with application to a network of multi-agent systems having imperfect communication channels. Automatica, 45(9), 2032–2040.
39. Meskin, N., Khorasani, K., & Rabbath, C. A. (2010). A hybrid fault detection and isolation strategy for a network of unmanned vehicles in presence of large environmental disturbances. IEEE Transactions on Control Systems Technology, 18(6), 1422–1429.
40. Micalizio, R., Torasso, P., & Torta, G. (2004). On-line monitoring and diagnosis of multi-agent systems: A model based approach. 16th European Conference on Artificial Intelligence, ECAI, Vol. 16, p. 848, Valencia, Spain.
41. Micalizio, R., Torasso, P., & Torta, G. (2006). On-line monitoring and diagnosis of a team of service robots: A model-based approach. AI Communications, 19(4), 313–340.
42. Miller, P. M. (2006, November). Mini, micro, and Swarming Unmanned Aerial Vehicles: A Baseline Study. Washington, DC: Federal Research Division, Library of Congress.
43. Nagy, M., Akos, Z., Biro, D., & Vicsek, T. (2010). Hierarchical group dynamics in pigeon flocks. Nature, 464(7290), 890– 893.
44. Pasqualetti, F., Bicchi, A., & Bullo, F. (2007, December). Distributed intrusion detection for secure consensus computations. 2007 46th IEEE conference on decision and control, New Orleans, Louisiana, USA (pp. 5594–5599). New York: IEEE.
45. Reynolds, C. W. (1987, August). Flocks, herds and schools: A distributed behavioral model. ACM SIGGRAPH computer graphics, ACM, 21(4), pp. 25–34.
46. Scharf, D. P., Hadaegh, F. Y., & Ploen, S. R. (2003, June). A survey of spacecraft formation flying guidance and control (part I): Guidance. American Control Conference, 2003. Proceedings of the 2003, Boston, MA, USA, Vol. 2 (pp. 1733–1739). New York: IEEE.
47. Scharf, D. P., Hadaegh, F. Y., & Ploen, S. R. (2004, June). A survey of spacecraft formation flying guidance and control. Part II: Control. American Control Conference, 2004. Proceedings of the 2004, Boston, MA, USA, Vol. 4 (pp. 2976–2985). New York: IEEE.
48. Semsar-Kazerooni, E., & Khorasani, K. (2009, June). Analysis of actuator faults in a cooperative team consensus of unmanned systems. American Control Conference, 2009. ACC’09, St. Louis, Missouri, USA (pp. 2618–2623). New York: IEEE.
49. Shames, I., Teixeira, A. M., Sandberg, H., & Johansson, K. H. (2011). Distributed fault detection for interconnected second-order systems. Automatica, 47(12), 2757–2764.
50. Shames, I., Teixeira, A. M., Sandberg, H., & Johansson, K. H. (2012, June). Distributed fault detection and isolation with imprecise network models. American Control Conference (ACC), 2012, Montréal, Canada (pp. 5906–5911). New York: IEEE.
51. Sundaram, S., & Hadjicostis, C. N. (2011). Distributed function calculation via linear iterative strategies in the presence of malicious agents. IEEE Transactions on Automatic Control, 56(7), 1495–1508.
52. Teixeira, A., Sandberg, H., & Johansson, K. H. (2010, June). Networked control systems under cyber attacks with applications to power networks. American Control Conference (ACC), 2010, Baltimore, Maryland, USA (pp. 3690–3696). New York: IEEE.
53. Toner, J., & Tu, Y. (1998). Flocks, herds, and schools: A quantitative theory of flocking. Physical Review E, 58(4), 4828–4858.
54. Valdes, A., & Khorasani, K. (2010). A pulsed plasma thruster fault detection and isolation strategy for formation flying of satellites. Applied Soft Computing, 10(3), 746–758.
55. Valdes, A., Khorasani, K., & Ma, L. (2009). Dynamic neural network-based fault detection and isolation for thrusters in formation flying of satellites. Advances in neural networks CISNN 2009 (pp. 780–793). Berlin, Heidelberg: Springer.
56. Valenti, M., Bethke, B., Fiore, G., How, J. P., & Feron, E. (2006, August). Indoor multi-vehicle flight testbed for fault detection, isolation, and recovery. Proceedings of the AIAA guidance, navigation, and control conference and exhibit, Vol. 63 (pp. 63–64). Keystone, CO: AIAA.
57. Wang, C., Shang, W., & Sun, D. (2011, July). Monitoring malfunction in multirobot formation with a neural network detector. Proceedings of the Institution of Mechanical Engineers Part I – Journal of Systems and Control Engineering, 225, pp. 1163–1172.
58. Wang, T. Y., Chang, L. Y., & Chen, P. Y. (2009). A collaborative sensor-fault detection scheme for robust distributed estimation in sensor networks. IEEE Transactions on Communications, 57(10), 3045–3058.
59. Wang, X., Cheng, L., Cao, Z. Q., Zhou, C., Tan, M., & Hou, Z. G. (2011). Output-feedback consensus control of linear multi-agent systems: A fixed topology. International Journal of Innovative Computing, Information and Control, 7(5A), 2063–2074.
60. Weimer, J., Kar, S., & Johansson, K. H. (2012, April). Distributed detection and isolation of topology attacks in power networks. Proceedings of the 1st international conference on high confidence networked systems, ACM, Beijing, China (pp. 65–72).
61. Willsky, A. S. (1976). A survey of design methods for failure detection in dynamic systems. Automatica, 12(6), 601–611.
62. Wu, Q., & Saif, M. (2007, July). Robust fault detection and diagnosis for a multiple satellite formation flying system using second order sliding mode and wavelet networks. American Control Conference, 2007. ACC’07, New York City, USA (pp. 426–431). New York: IEEE.
63. Zhou, D. H., & Hu, Y. Y. (2009). Fault diagnosis techniques for dynamic systems. Acta Automatica Sinica, 35(6), 748–758.