1. bookVolume 32 (2022): Issue 3 (September 2022)
    Recent Advances in Modelling, Analysis and Implementation of Cyber-Physical Systems (Special section, pp. 345-413), Remigiusz Wiśniewski, Luis Gomes and Shaohua Wan (Eds.)
Journal Details
License
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Journal
eISSN
2083-8492
First Published
05 Apr 2007
Publication timeframe
4 times per year
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English
Open Access

Decentralized Multi–Agent Formation Control with Pole–Region Placement via Cone–Complementarity Linearization

Published Online: 08 Oct 2022
Volume & Issue: Volume 32 (2022) - Issue 3 (September 2022) - Recent Advances in Modelling, Analysis and Implementation of Cyber-Physical Systems (Special section, pp. 345-413), Remigiusz Wiśniewski, Luis Gomes and Shaohua Wan (Eds.)
Page range: 415 - 428
Received: 04 Feb 2022
Accepted: 06 Apr 2022
Journal Details
License
Format
Journal
eISSN
2083-8492
First Published
05 Apr 2007
Publication timeframe
4 times per year
Languages
English

Bai, H. and Wen, J.T. (2010). Cooperative load transport: A formation-control perspective, IEEE Transactions on Robotics 26(4): 742–750.10.1109/TRO.2010.2052169 Search in Google Scholar

Bechlioulis, C.P., Giagkas, F., Karras, G.C. and Kyriakopoulos, K.J. (2019). Robust formation control for multiple underwater vehicles, Frontiers in Robotics and AI 6(2019): 90.10.3389/frobt.2019.00090780562533501105 Search in Google Scholar

Dehghani, M.A. and Menhaj, M.B. (2016). Communication free leader–follower formation control of unmanned aircraft systems, Robotics and Autonomous Systems 80(2016): 69–75.10.1016/j.robot.2016.03.008 Search in Google Scholar

Dong, X., Yu, B., Shi, Z. and Zhong, Y. (2014). Time-varying formation control for unmanned aerial vehicles: Theories and applications, IEEE Transactions on Control Systems Technology 23(1): 340–348.10.1109/TCST.2014.2314460 Search in Google Scholar

El Ghaoui, L., Oustry, F. and AitRami, M. (1997). A cone complementarity linearization algorithm for static output-feedback and related problems, IEEE Transactions on Automatic Control 42(8): 1171–1176.10.1109/9.618250 Search in Google Scholar

Farrera, B., López-Estrada, F.-R., Chadli, M., Valencia-Palomo, G. and Gómez-Peñate, S. (2020). Distributed fault estimation of multi-agent systems using a proportional-integral observer: A leader-following application, International Journal of Applied Mathematics and Computer Science 30(3): 551–560, DOI: 10.34768/amcs-2020-0040. Open DOISearch in Google Scholar

González, A., Aranda, M., López-Nicolás, G. and Sagüés, C. (2019). Robust stability analysis of formation control in local frames under time-varying delays and actuator faults, Journal of the Franklin Institute 356(2): 1131–1153.10.1016/j.jfranklin.2018.06.020 Search in Google Scholar

González-Sierra, J., Dzul, A. and Martínez, E. (2022). Formation control of distance and orientation based-model of an omnidirectional robot and a quadrotor UAV, Robotics and Autonomous Systems 147(2022): 103921.10.1016/j.robot.2021.103921 Search in Google Scholar

He, S., Wang, M., Dai, S.-L. and Luo, F. (2018). Leader–follower formation control of USVs with prescribed performance and collision avoidance, IEEE Transactions on Industrial Informatics 15(1): 572–581.10.1109/TII.2018.2839739 Search in Google Scholar

Kamel, M.A. and Zhang, Y. (2015). Decentralized leader–follower formation control with obstacle avoidance of multiple unicycle mobile robots, 2015 IEEE 28th Canadian Conference on Electrical and Computer Engineering (CCECE), Halifax, Canada, pp. 406–411. Search in Google Scholar

Lee, G. and Chwa, D. (2018). Decentralized behavior–based formation control of multiple robots considering obstacle avoidance, Intelligent Service Robotics 11(1): 127–138.10.1007/s11370-017-0240-y Search in Google Scholar

Li, Z., Liu, H.H., Zhu, B. and Gao, H. (2015). Robust second-order consensus tracking of multiple 3-DOF laboratory helicopters via output feedback, IEEE/ASME Transactions on Mechatronics 20(5): 2538–2549.10.1109/TMECH.2014.2388240 Search in Google Scholar

Oh, K.-K., Park, M.-C. and Ahn, H.-S. (2015). A survey of multi-agent formation control, Automatica 53(2015): 424–440.10.1016/j.automatica.2014.10.022 Search in Google Scholar

Olfati-Saber, R. and Murray, R. (2004). Consensus problems in networks of agents with switching topology and time-delays, IEEE Transactions on Automatic Control 49(9): 1520–1533.10.1109/TAC.2004.834113 Search in Google Scholar

Peaucelle, D., Arzelier, D., Bachelier, O. and Bernussou, J. (2000). A new robust D-stability condition for real convex polytopic uncertainty, Systems and Control Letters 40(1): 21–30.10.1016/S0167-6911(99)00119-X Search in Google Scholar

Peng, C., Zhang, A. and Li, J. (2021). Neuro-adaptive cooperative control for high-order nonlinear multi-agent systems with uncertainties, International Journal of Applied Mathematics and Computer Science 31(4): 635–645, DOI: 10.34768/amcs-2021-0044. Open DOISearch in Google Scholar

Rahimi, R., Abdollahi, F. and Naqshi, K. (2014). Time-varying formation control of a collaborative heterogeneous multi agent system, Robotics and Autonomous Systems 62(12): 1799–1805.10.1016/j.robot.2014.07.005 Search in Google Scholar

Ren, W. and Atkins, E. (2005). Second-order consensus protocols in multiple vehicle systems with local interactions, AIAA Guidance, Navigation, and Control Conference and Exhibit, San Francisco, USA, p. 6238. Search in Google Scholar

Ren, W. and Beard, R.W. (2004). Decentralized scheme for spacecraft formation flying via the virtual structure approach, Journal of Guidance, Control, and Dynamics 27(1): 73–82.10.2514/1.9287 Search in Google Scholar

Ren, W. and Beard, R.W. (2008). Distributed Consensus in Multi-Vehicle Cooperative Control, Springer, London.10.1007/978-1-84800-015-5 Search in Google Scholar

Ren, W. and Sorensen, N. (2008). Distributed coordination architecture for multi-robot formation control, Robotics and Autonomous Systems 56(4): 324–333.10.1016/j.robot.2007.08.005 Search in Google Scholar

Tian, B., Lu, H., Zuo, Z. and Yang, W. (2018). Fixed-time leader–follower output feedback consensus for second-order multiagent systems, IEEE Transactions on Cybernetics 49(4): 1545–1550.10.1109/TCYB.2018.279475929994382 Search in Google Scholar

Wen, C., Liu, F., Song, Q. and Feng, X. (2016). Observer-based consensus of second-order multi-agent systems without velocity measurements, Neurocomputing 179(2016): 298–306.10.1016/j.neucom.2015.11.087 Search in Google Scholar

Zhai, G., Okuno, S., Imae, J. and Kobayashi, T. (2009). A matrix inequality based design method for consensus problems in multi-agent systems, International Journal of Applied Mathematics and Computer Science 19(4): 639–646, DOI: 10.2478/v10006-009-0051-1. Open DOISearch in Google Scholar

Zhang, H. and Chen, J. (2017). Bipartite consensus of multi-agent systems over signed graphs: State feedback and output feedback control approaches, International Journal of Robust and Nonlinear Control 27(1): 3–14.10.1002/rnc.3552 Search in Google Scholar

Zou, Y., Zhou, Z., Dong, X. and Meng, Z. (2018). Distributed formation control for multiple vertical takeoff and landing UAVs with switching topologies, IEEE/ASME Transactions on Mechatronics 23(4): 1750–1761.10.1109/TMECH.2018.2844306 Search in Google Scholar

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