Abstract
Coverage and control of a diffusion process using multiple robots have been studied in this paper. Two control strategies such as CVT (Centroidal Voronoi Tessellations)-Allocation-Motion Algorithm and CVT-Obstacles Avoidance-Motion Algorithm have been proposed for cooperative control of multiple robots in realizing the task of coverage and control of diffusion process that is modeled by parabolic partial differential equation. Reliability and transient performance have been improved based on the algorithms that is proposed in this paper. Simulation results using Diff-MAS2D for the diffusion process illustrate the effectiveness of the theoretical results.
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References
Nowak, M., Sigmund, K.: A strategy of win-stay, lose-shift that outperforms tit-for-tat in the Prisoner’s Dilemma game. Nature 364(6432), 56–58 (1993)
Posch, M.: Win-stay, lose-shift strategies for repeated games-memory length, aspiration levels and noise. J. Theor. Biol. 198, 183–195 (1999)
Cortes, J., Bullo, F.: Coordination and geometric optimization via distributed dynamical systems. SIAM J. Control Optim. 44, 1543–1574 (2005)
Lekien, F., Leonard, N.: Nonuniform coverage and cartograms. SIAM J. Control Optim. 48, 351–372 (2009)
Pimenta, L.C.A., Schwager, M., Lindsey, Q., Kumar, V., Rus, D., Mesquita, R.C., Pereira, G.A.S.: Simultaneous coverage and tracking (SCAT) of moving targets with robot networks. In: Chirikjian, G.S., Choset, H., Morales, M., Murphey, T. (eds.) Algorithmic Foundation of Robotics VIII. STAR, vol. 57, pp. 85–99. Springer, Heidelberg (2009). doi:10.1007/978-3-642-00312-7_6
Lerman, K., Galstyan, A.: Analysis of dynamic task allocation in multi-robot systems. Int. J. Robot. Res. 25, 225–241 (2006)
Ayanian, N., Kumar, V.: Decentralized feedback controllers for multi-agent teams in environments with obstacles. In: IEEE Conference on Robotics and Automation (2008)
Liang, J., Chen, Y.: Diff-MAS2D (version 0.9) User’s Manual-A simulation platform for controlling distributed parameter systems (diffusion) with networked movable actuators and sensors (MAS) in 2D domain. Utah State University, Technical report (2004)
Chen, Y., Moore, K.L.: Model-based approach to characterization of diffusion processes via distributed control of actuated sensor networks. Helsinki University of Technology Espoo, IFAC Symposium of Telemetries Applications in Automation and Robotics (2004)
Moore, K.L., Chen, Y.: Diffusion based path planning in mobile actuator-sensor networks (MAS-net) - some preliminary results. In: PIE Conference on Intelligent Computing: Theory and Applications II, Part of SPIE’s Defense and Security (2004)
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Cao, Kc., Zhou, F., Qian, M. (2017). Coverage and Control of Diffusion Process in Cyber-Physical Systems. In: Yue, D., Peng, C., Du, D., Zhang, T., Zheng, M., Han, Q. (eds) Intelligent Computing, Networked Control, and Their Engineering Applications. ICSEE LSMS 2017 2017. Communications in Computer and Information Science, vol 762. Springer, Singapore. https://doi.org/10.1007/978-981-10-6373-2_56
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DOI: https://doi.org/10.1007/978-981-10-6373-2_56
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