Particle swarm optimization for source localization in environment with obstacles

2014 IEEE International Symposium on Intelligent Control, ISIC 2014

Volumn , Issue , 2014, Pages 1602-1607

  Zou, Rui ^a   Zhang, Mengzhe ^a   Kalivarapu, Vijay ^a   Winer, Eliot ^a   Bhattacharya, Sourabh ^a  

^a Iowa State University of Science and Technology   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTROL ENGINEERING;

ACOUSTIC SIGNALS; COMPLEX ENVIRONMENTS; ELECTROMAGNETIC SIGNALS; GRADIENT BASED; RADIALLY SYMMETRIC; SOURCE LOCALIZATION; STATIC AND DYNAMIC OBSTACLES; VAPOR EMISSIONS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 84919361006     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIC.2014.6967626     Document Type: Conference Paper

References (32)

1. A. R. Mesquita, J. P. Hespanha, and K. Astrom, "Optimotaxis: A stochastic multi-agent optimization procedure with point measurements," in 11th International Workshop on Hybrid Systems: Computation and Control, vol. 4981, pp. 358-371, 2008.
2. N. J. Vickers, "Mechanisms of animal navigation in odor plumes," in Biol. Bull., vol. 198, April. 2000.
3. B. Charrow, N. Michael, and V. Kumar, "Cooperative multi-robot estimation and control for radio source localization," in Experimental Robotics, vol. 88 of Springer Tracts in Advanced Robotics, pp. 337-351, Springer International Publishing, 2013.
4. P. Ogren, E. Fiorelli, and N. Leonard, "Cooperative control of mobile sensor networks:adaptive gradient climbing in a distributed environment," IEEE Transactions on Automatic Control, vol. 49, no. 8, pp. 1292-1302, 2004.
5. N. Atanasov, J. Le Ny, N. Michael, and G. Pappas, "Stochastic source seeking in complex environments," in IEEE International Conference on Robotics and Automation (ICRA), pp. 3013-3018, 2012.
6. E. Burian, D. Yoerger, A. Bradley, and H. Singh, "Gradient search with autonomous underwater vehicles using scalar measurements," in Proceedings of the 1996 Symposium on Autonomous Underwater Vehicle Technology, pp. 86-98, 1996.
7. S. Venkateswaran, J. Isaacs, K. Fregene, R. Ratmansky, B. Sadler, J. Hespanha, and U. Madhow, "RF source-seeking by a micro aerial vehicle using rotation-based angle of arrival estimates," in American Control Conference (ACC), 2013, pp. 2581-2587, 2013.
8. W. Wu and F. Zhang, "Robust cooperative exploration with a switching strategy," Robotics, IEEE Transactions on, vol. 28, pp. 828-839, Aug 2012.
9. R. Bachmayer and N. Leonard, "Vehicle networks for gradient descent in a sampled environment," in Proceedings of the 41st IEEE Conference on Decision and Control, vol. 1, pp. 112-117 vol.1, 2002.
10. B. Moore and C. Canudas-de-Wit, "Source seeking via collaborative measurements by a circular formation of agents," in American Control Conference (ACC), pp. 6417-6422, 2010.
11. L. Brinon-Arranz and L. Schenato, "Consensus-based source-seeking with a circular formation of agents," in European Control Conference (ECC), pp. 2831-2836, 2013.
12. S. Zhu, D. Wang, and C. Low, "Cooperative control of multiple uavs for moving source seeking," Journal of Intelligent & Robotic Systems, vol. 74, no. 1-2, pp. 333-346, 2014.
13. S. Pang and J. Farrell, "Chemical plume source localization," Part B: Cybernetics, IEEE Transactions on Systems, Man, and Cybernetics, vol. 36, no. 5, pp. 1068-1080, 2006.
14. K. Guruprasad and D. Ghose, "Automated multi-agent search using centroidal voronoi configuration," IEEE Transactions on Automation Science and Engineering, vol. 8, no. 2, pp. 420-423, 2011.
15. A. Wadhwa, U. Madhow, J. Hespanha, and B. Sadler, "Following an RF trail to its source," in 2011 49th Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 580-587, 2011.
16. L. Albini, P. Burrascano, and S. Fiori, "A feasibility study for electromagnetic pollution monitoring by electromagnetic-source localization via neural independent component analysis," Neurocomputing, vol. 55, no. 34, pp. 451-468, 2003.
17. Y. Landa, N. Tanushev, and R. Tsai, "Discovery of point sources in the helmholtz equation posed in unknown domains with obstacles," Comm. in Math. Sci., vol. 9, no. 3, pp. 903-928, 2011.
18. C. Zhang, D. Arnold, N. Ghods, A. Siranosian, and M. Krstic, "Source seeking with nonholonomic unicycle without position measurement-part i: Tuning of forward velocity," in IEEE Conference on Decision and Control, pp. 3040-3045, 2006.
19. J. Cochran and M. Krstic, "Nonholonomic source seeking with tuning of angular velocity," IEEE Transactions on Automatic Control, vol. 54, no. 4, pp. 717-731, 2009.
20. K. B. Ariyur and M. Krstic, Real-Time Optimization by Extremum-Seeking Control. Wiley-Interscience, 2003.
21. J. Kennedy and R. Eberhart, "Particle swarm optimization," in IEEE International Conference on Neural Networks, vol. 4, pp. 1942-1948 vol.4, 1995.
22. Y. Shi and R. Eberhart, "A modified particle swarm optimizer," in IEEE International Conference on Evolutionary Computation Proceedings, IEEE World Congress on Computational Intelligence, pp. 69-73, 1998.
23. M. Clerc and J. Kennedy, "The particle swarm-explosion, stability, and convergence in a multidimensional complex space," IEEE Transactions on Evolutionary Computation, vol. 6, pp. 58-73, Feb 2002.
24. K. Veeramachaneni, T. Peram, C. Mohan, and L. Osadciw, "Optimization using particle swarms with near neighbor interactions," in Genetic and Evolutionary Computation (GECCO), vol. 2723, pp. 110-121, Springer Berlin Heidelberg, 2003.
25. M. Pant, R. Thangaraj, and A. Abraham, "A new quantum behaved particle swarm optimization," in Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation, pp. 87-94, 2008.
26. V. Kalivarapu, J.-L. Foo, and E. Winer, "Improving solution characteristics of particle swarm optimization using digital pheromones," Structural and Multidisciplinary Optimization, vol. 37, no. 4, pp. 415-427, 2009.
27. E. Masehian and D. Sedighizadeh, "A multi-objective pso-based algorithm for robot path planning," in IEEE International Conference on Industrial Technology (ICIT), pp. 465-470, March 2010.
28. Y. Cai and S. Yang, "A pso-based approach with fuzzy obstacle avoidance for cooperative multi-robots in unknown environments," in IEEE International Conference on Information and Automation (ICIA), pp. 1386-1391, Aug 2013.
29. E. Di Mario, Z. Talebpour, and A. Martinoli, "A comparison of pso and reinforcement learning for multi-robot obstacle avoidance," in IEEE Congress on Evolutionary Computation (CEC), pp. 149-156, June 2013.
30. L. Marques, U. Nunes, and A. de Almeida, "Particle swarm-based olfactory guided search," Autonomous Robots, vol. 20, no. 3, pp. 277-287, 2006.
31. A. Khanafer, S. Bhattacharya, and T. Basąr, "Adaptive resource allocation in jamming teams using game theory," in 7th International workshop on Resource Allocation and Cooperation in Wireless Networks( RAWNET), 2011.
32. V. J. Lumelsky and A. Stepanov, "Dynamic path planning for a mobile automaton with limited information on the environment," IEEE Transactions on Automatic Control, vol. 31, pp. 1058-1063, Nov 1986.