Connectivity preservation of second-order nonlinear multiagent systems with hybrid event-driven and time-driven control

References

• Ajorlou, A. , Momeni, A. , & Aghdam, A . (2010). A class of bounded distributed control strategies for connectivity preservation in multi-agent systems. IEEE Transactions on Automatic Control, 55 (12), 2828–2833.
   Web of Science ®Google Scholar
• Ando, H. , Oasa, Y. , Suzuki, I. , & Yamashita, M . (1999). Distributed memoryless point convergence algorithm for mobile robots with limited visibility. IEEE Transactions on Robotics and Automation, 15 (5), 818–828.
   Google Scholar
• Chen, C. , Wen, G. X. , Liu, Y. J. , & Wang, F. Y . (2014). Adaptive consensus control for a class of nonlinear multiagent time-delay systems using neural networks. IEEE Transactions on Neural Networks and Learning Systems, 25 (6), 1217–1226.
   Web of Science ®Google Scholar
• Cheng, L. , Hou, Z. G. , Tan, M. , Lin, Y. , & Zhang, W . (2010). Neural-network-based adaptive leader-following control for multiagent systems with uncertainties. IEEE Transactions on Neural Networks, 21 (8), 1351–1358.
   PubMed Web of Science ®Google Scholar
• Cheng, L. , Wang, H. , Hou, Z. G. , & Tan, M . (2016). Reaching a consensus in networks of high-order integral agents under switching directed topologies. International Journal of Systems Science, 47 (8), 1966–1981.
   Web of Science ®Google Scholar
• Dimarogonas, D. , Frazzoli, E. , & Johansson, K . (2012). Distributed event-triggered control for multi-agent systems. IEEE Transactions on Automatic Control, 57 (5), 1291–1297.
   Web of Science ®Google Scholar
• Gao, W. , & Jiang, Z. P . (2016). Adaptive dynamic programming and adaptive optimal output regulation of linear systems. IEEE Transactions on Automatic Control . doi:10.1109/TAC.2016.2548662
   PubMed Web of Science ®Google Scholar
• Ge, S. , Hong, F. , & Lee, T . (2004). Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 34 (1), 499–516.
   PubMed Web of Science ®Google Scholar
• He, W. , & Ge, S. S . (2016). Cooperative control of a nonuniform gantry crane with constrained tension. Automatica, 66 (4), 146–154.
   Web of Science ®Google Scholar
• Heemels, W. , Donkers, M. , & Teel, A. R . (2013). Periodic event-triggered control for linear systems. IEEE Transactions on Automatic Control, 58 (4), 847–861.
   Web of Science ®Google Scholar
• Hou, Z. G. , Cheng, L. , & Tan, M . (2009). Decentralized robust adaptive control for the multiagent system consensus problem using neural networks. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 39 (3), 636–647.
   PubMed Web of Science ®Google Scholar
• Li, H. , & Liu, D . (2012). Optimal control for discrete-time affine non-linear systems using general value iteration. IET Control Theory & Applications, 6 (18), 2725–2736.
   Web of Science ®Google Scholar
• Liang, H. , Zhang, H. , Wang, Z. , & Wang, J . (2014). Consensus robust output regulation of discrete-time linear multi-agent systems. IEEE/CAA Journal of Automatica Sinica, 1 (2), 204–209.
   Google Scholar
• Liu, T. , & Jiang, Z. P . (2014). Distributed control of nonlinear uncertain systems: A cyclic-small-gain approach. IEEE/CAA Journal of Automatica Sinica, 1 (1), 46–53.
   Google Scholar
• Liu, T. , & Jiang, Z. P . (2015). Event-based control of nonlinear systems with partial state and output feedback. Automatica, 53 , 10–22.
   Web of Science ®Google Scholar
• Liu, D. , Li, H. , & Wang, D . (2013). Neural-network-based zero-sum game for discrete-time nonlinear systems via iterative adaptive dynamic programming algorithm. Neurocomputing, 110 , 92–100.
   Web of Science ®Google Scholar
• Liu, D. , Li, H. , & Wang, D . (2014). Online synchronous approximate optimal learning algorithm for multiplayer nonzero-sum games with unknown dynamics. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 44 (8), 1015–1027.
   Web of Science ®Google Scholar
• Liu, D. , Wang, D. , & Li, H . (2014). Decentralized stabilization for a class of continuous-time nonlinear interconnected systems using online learning optimal control approach. IEEE Transactions on Neural Networks and Learning Systems, 25 (2), 418–428.
   PubMed Web of Science ®Google Scholar
• Liu, S. , Xie, L. H. , & Lewis, F. L . (2011). Synchronization of multi-agent systems with delayed control input information from neighbors. Automatica, 47 (10), 2152–2164.
   Web of Science ®Google Scholar
• Ma, H. , Liu, D. , Wang, D. , & Luo, B . (2016). Bipartite output consensus in networked multi-agent systems of high-order power integrators with signed digraph and input noises. International Journal of Systems Science, 47 (13), 3116–3131.
   Web of Science ®Google Scholar
• Ma, H. , Liu, D. , Wang, D. , Tan, F. , & Li, C . (2015). Centralized and decentralized event-triggered control for group consensus with fixed topology in continuous time. Neurocomputing, 161 , 267–276.
   Web of Science ®Google Scholar
• Ma, H. , Liu, D. , Wang, D. , Yang, X. , & Li, H . (2016). Distributed algorithm for dissensus of a class of networked multiagent systems using output information. Soft Computing . doi:10.1007/s00500-016-2332-6
   Web of Science ®Google Scholar
• Ma, H. , & Wang, D . (2016). Connectivity preserved nonlinear time-delayed multiagent systems using neural networks and event-based mechanism. Neural Computing & Applications . doi:10.1007/s00521-016-2614-z
   PubMed Web of Science ®Google Scholar
• Ma, H. , Wang, Z. , Wang, D. , Liu, D. , Yan, P. , & Wei, Q . (2016). Neural-network-based distributed adaptive robust control for a class of nonlinear multiagent systems with time delays and external noises. IEEE Transactions on Systems, Man, & Cybernetics: Systems, 46 (6), 750–758.
   Web of Science ®Google Scholar
• Notarstefano, G. , Savla, K. , Bullo, F. , & Jadbabaie, A . (2006). Maintaining limited-range connectivity among second-order agents. In Proceedings of the American control conference (pp. 2124–2129). Minneapolis, MN.
   Google Scholar
• Shen, J. , Tan, H. , Wang, J. , Wang, J. , & Lee, S . (2015). A novel routing protocol providing good transmission reliability in underwater sensor networks. Journal of Internet Technology, 16 (1), 171–178.
   Web of Science ®Google Scholar
• Su, H. , Wang, X. , & Chen, G . (2010). Rendezvous of multiple mobile agents with preserved network connectivity. Systems & Control Letters, 59 (5), 313–322.
   Web of Science ®Google Scholar
• Tallapragada, P. , & Chopra, N . (2013). On event triggered tracking for nonlinear systems. IEEE Transactions on Automatic Control, 58 (9), 2343–2348.
   Web of Science ®Google Scholar
• Wang, Y. , Cheng, L. , Hou, Z. G. , Tan, M. , Zhou, C. , & Wang, M . (2015). Consensus seeking in a network of discrete-time linear agents with communication noises. International Journal of Systems Science, 46 (10), 1874–1888.
   Web of Science ®Google Scholar
• Wang, D. , Liu, D. , & Li, H . (2014). Policy iteration algorithm for online design of robust control for a class of continuous-time nonlinear systems. IEEE Transactions on Automation Science and Engineering, 11 (2), 627–632.
   Web of Science ®Google Scholar
• Wang, D. , Liu, D. , Li, H. , Ma, H. , & Li, C . (2016). A neural-network-based online optimal control approach for nonlinear robust decentralized stabilization. Soft Computing, 20 (2), 707–716.
   Web of Science ®Google Scholar
• Wang, D. , Liu, D. , Mu, C. , & Ma, H . (2016). Decentralized guaranteed cost control of interconnected systems with uncertainties: A learning-based optimal control strategy. Neurocomputing, 214 , 297–306.
   Web of Science ®Google Scholar
• Wang, D. , Liu, D. , Zhao, D. , Huang, Y. , & Zhang, D . (2013). A neural-network-based iterative GDHP approach for solving a class of nonlinear optimal control problems with control constraints. Neural Computing & Applications, 22 (2), 219–227.
   Web of Science ®Google Scholar
• Wang, D. , Ma, H. , & Liu, D . (2016). Distributed control algorithm for bipartite consensus of the nonlinear time-delayed multi-agent systems with neural networks. Neurocomputing, 174 , 928–936.
   Web of Science ®Google Scholar
• Wang, D. , Mu, C. , & Liu, D. (2017). Data-driven nonlinear near-optimal regulation based on iterative neural dynamic programming. Acta Automatica Sinica, 43 (3), 366–375.
   Google Scholar
• Wang, J. , Yang, T. , Staskevich, G. , & Abbe, B . (2016). Approximately adaptive neural cooperative control for nonlinear multiagent systems with performance guarantee. International Journal of Systems Science . doi:10.1080/00207721.2016.1186242
   Web of Science ®Google Scholar
• Wei, Q. , & Liu, D . (2013). Numerical adaptive learning control scheme for discrete-time non-linear systems. IET Control Theory & Applications, 7 (11), 1472–1486.
   Web of Science ®Google Scholar
• Wei, Q. , & Liu, D . (2014). A novel iterative θ-adaptive dynamic programming for discrete-time nonlinear systems. IEEE Transactions on Automation Science and Engineering, 11 (4), 1176–1190.
   Web of Science ®Google Scholar
• Wei, Q. , Wang, F. Y. , Liu, D. , & Yang, X . (2014). Finite-approximation-error-based discrete-time iterative adaptive dynamic programming. IEEE Transactions on Cybernetics, 44 (12), 2820–2833.
   PubMed Web of Science ®Google Scholar
• Wen, G. , Duan, Z. , Li, Z. , & Chen, G . (2012). Flocking of multi-agent dynamical systems with intermittent nonlinear velocity measurements. International Journal of Robust and Nonlinear Control, 22 (16), 1790–1805.
   Web of Science ®Google Scholar
• Wen, G. , Duan, Z. , Su, H. , Chen, G. , & Yu, W . (2012). A connectivity-preserving flocking algorithm for multi-agent dynamical systems with bounded potential function. IET Control Theory & Applications, 6 (6), 813–821.
   Web of Science ®Google Scholar
• Xie, S. , & Wang, Y . (2014). Construction of tree network with limited delivery latency in homogeneous wireless sensor networks. Wireless Personal Communications, 78 (1), 231–246.
   Web of Science ®Google Scholar
• Yu, H. , & Antsaklis, P . (2012). Formation control of multi-agent systems with connectivity preservation by using both event-driven and time-driven communication. In Proceedings of the IEEE conference on decision and control (pp. 7218–7223). Maui, HI.
   Google Scholar
• Yue, D. , Tian, E. G. , & Han, Q. L . (2013). A delay system method for designing event-triggered controllers of networked control systems. IEEE Transactions on Automatic Control, 58 (2), 475–481.
   Web of Science ®Google Scholar
• Zavlanos, M. , Tanner, H. , Jadbabaie, A. , & Pappas, G . (2009). Hybrid control for connectivity preserving flocking. IEEE Transactions on Automatic Control, 54 (12), 2869–2875.
   Web of Science ®Google Scholar