洪奕光

Selected Publications:

1.  X. Zeng, J. Chen, Y. Hong, 2020, Distributed Optimization Design for Computation of Algebraic Riccati Inequalities, IEEE Transactions on Cybernetics, to appear.

2.   Y. Zou, Z. Meng, Y. Hong, 2020, Adaptive Distributed Optimization Algorithms for Euler Lagrange Systems, Automatica, to appear.

3.   S. Liang, X. Zeng, G. Chen, Y. Hong, 2020, Distributed sub-optimal resource allocation via a projected form of singular perturbation, Automatica, to appear.

4.   S. Wu, X. Ren, Y. Hong, L. Shi, 2020, Max-Min Fair Sensor Scheduling: Game-theoretic Perspective and Algorithmic Solution, IEEE Transactions on Automatic Control, to appear.

5.   H. Zhou, X. Zeng, Y. Hong, 2019, Adaptive Exact Penalty Design for Constrained Distributed Optimization, IEEE Transactions on Automatic Control, 64, 4661-4667.

6.   Y. Tang, Z. Deng, Y. Hong, 2019, Optimal Output Consensus of High-Order Multiagent Systems With Embedded Technique, IEEE Transactions on Cybernetics, 49, 1768-1779.

7.   D. Meng, Z. Meng, Y. Hong, 2019, Disagreement of hierarchical opinion dynamics with changing antagonism, SIAM Journal on Control and Optimization, 57, 718-742.

8.   G. Chen, X. Zeng, Y. Hong, 2019, Distributed optimisation design for solving the Stein equation with constraints, IET Control Theory & Applications, 13, 2492-2499.

9.   W. Deng, X. Zeng, Y. Hong, 2019, Distributed computation for solving the Sylvester equation based on optimization, IEEE Systems Control Letters, 4, 414-419.

10.  X. Zeng, J. Chen, S. Liang, Y. Hong, 2019, Generalized Nash equilibrium seeking strategy for distributed nonsmooth multi-cluster game, Automatica, 103, 20-26.

11.  Y. Wang, W. Zhao, Y. Hong, M. Zamani, 2019, Distributed subgradient-free stochastic optimization algorithm for nonsmooth convex functions over time-varyign networks, SIAM Journal on Control and Optimization, 57, 2821-2842.

12.  Y. Wang, P. Lin, Y. Hong, 2018, Distributed regression estimation with incomplete data in multi-agent networks, Science China Information Sciences, 61, 092202.

13.  S. Liang, X. Zeng, Y. Hong, 2018, Distributed sub-optimal resource allocation over weightbalanced graph via singular perturbation, Automatica, 95：222-228.

14.  P. Yi, J. Lei, Y. Hong, 2018, Distributed resource allocation over random networks based on stochastic approximation, Systems & Control Letters, 114, 44-51.

15.  X. Zeng, P. Yi, Y. Hong, L. Xie, 2018, Distributed Continuous-Time Algorithms for Nonsmooth Extended Monotropic Optimization Problems, SIAM Journal on Control and Optimization, 56, 3973-3993.

16.  S. Liang, X. Zeng, Y. Hong, 2018, Distributed Nonsmooth Optimization With Coupled Inequality Constraints via Modified Lagrangian Function, IEEE Transactions on Automatic Control, 63, 1753-1759.

17.  D. Yuan, Y. Hong, D. Ho, and G. Jiang, 2018, Optimal distributed stochastic mirror descent for strongly convex optimization, Automatica, 90, 196-203.

18.  X. Zeng, P. Yi, Y. Hong, 2018 Distributed Algorithm for Robust Resource Allocation with Polyhedral Uncertain Allocation Parameters, Journal of Systems Science and Complexity, 31, 103-119.

19.  X. Zeng, S. Liang, Y. Hong, and J. Chen, 2018, Distributed computation of linear matrix equations: An optimization perspective, IEEE Transactions on Automatic Control, 64, 1858– 1873, 2018.

20.  P. Lin, Y. Wang, H. Qi, Y. Hong, 2018, Distributed Consensus-Based K-Means Algorithm in Switching Multi-Agent Networks, Journal of Systems Science and Complexity, 31, 1128-1145.

21.  D. Meng, Z. Meng, Y. Hong, 2018, Uniform convergence for signed networks under directed switching topologies, Automatica, 90, 8-15.

22.  R. Li, Y. Hong, X. Wang, 2018, Observability of Automata Networks: Fixed and Switching Cases, IEEE Trans. Neural Networks and Learning Systems, 29, 1388-1394.

23.  S. Zhang, W. Song, F. He, Y. Hong, X. Hu, 2018, Intrinsic tetrahedron formation of reduced attitude, Automatica, 87, 375-382.

24.  Z. Qiu, L. Xie, Y. Hong, 2017, Data Rate for Distributed Consensus of Multiagent Systems With High-Order Oscillator Dynamics, IEEE Trans. Automatic Control, 62, 6065-6072.

25.  J. Zhang, Y. Hong, X. Hu, 2017, Multi-agent Opinion Dynamics of Bounded Confidence with Nonlocal Aggregative Interaction, SIAM Journal on Control and Optimization, 55, 2543-2573.

26.  S. Liang, P. Yi, Y. Hong, 2017, Distributed Nash equilibrium seeking for aggregative games with coupled constraints, Automatica, 85, 179-185.

27.  W. Su, G. Chen, Y. Hong, 2017, Noise leads to quasi-consensus of Hegselmann-Krause opinion dynamics, Automatica, 85, 448-454.

28.  Zeng, P. Yi, Y. Hong, 2017, Distributed continuous-time algorithm for constrained convex optimizations via nonsmooth analysis approach, IEEE Trans. Automatic Control, 62, 5227-5233.

29.  Q. Liu, S. Yang, Y. Hong, 2017, Constrained consensus algorithms with fixed step size for distributed convex optimization over multiagent networks, IEEE Trans. Automatic Control, 62, 4259-4265.

30.  P. Yi, Y. Hong, F. Liu, 2016, Initialization-free distributed algorithms for optimal resource allocation with feasibility constraints and application to economic dispatch of power systems, Automatica, 74, 259-269.

31.  D. Yuan, D. Ho, Y. Hong, 2016, On convergence rate of distributed stochastic gradient algorithm for convex optimization with inequality constraints, SIAM Journal on Control and Optimization, 54 (5), 2872-2892.

32.  Y. Lou, Y. Hong, L. Xie, G. Shi, and K. Johansson, 2016, Nash equilibrium computation in subnetwork zero-sum games with switching communication graphs, IEEE Trans. Automatic Control, 61, 2920-2935.

33.  Y. Lou, Y. Hong, and S. Wang, 2016, Distributed continuous-time approximate projection protocols for shortest distance optimization problems, Automatica, 69, 289-297.

34.  Z. Qiu, L. Xie, and Y. Hong, 2016, Quantized Leaderless and Leader-following Consensus of High-order Multi-agent Systems with Limited Data Rate, IEEE Trans. Automatic Control, 61, 2432-2447.

35.  D. Xu, X. Wang, Y. Hong, Z. P. Jiang, 2016, Global robust distributed output consensus of multi-agent nonlinear systems: An internal model approach, Systems & Control Letters, 87, 64-69.

36.  Y. Tang, Y. Hong, and X. Wang, 2015, Distributed output regulation for a class of nonlinear multi-agent systems with unknown-input leaders, Automatica, 62, 154-160.

37.  P. Yi, Y. Hong, and F. Liu, 2015, Distributed gradient algorithm for constrained optimization with application to load sharing in power systems, Systems & Control Letters, 83, 45-52.

38.  Y Zhang, Y Lou, Y. Hong, L Xie, 2015, Distributed projection-based algorithms for source localization in wireless sensor networks, IEEE Trans. Wireless Communication, 14, 3131-3142.

39.  Y Zhang, Y. Hong, 2015, Distributed control design for leader escort of multi-agent systems, Int. J. of Control, 88 (5), 935-945.

40.  M. Deghat, L. Xia, B. Anderson, and Y. Hong, 2015, Multi-target localization and circumnavigation by a single agent using bearing measurements, Int. J. of Robust & Nonlinear Control, 25, 2362-2374.

41.  Y. Lou and Y. Hong, 2015, Distributed surrounding design of target region with complex adjacency matrices, IEEE Trans. Automatic Control, 60, 283-288.

42.  P. Yi and Y. Hong, 2014, Quantized subgradient algorithm and data-rate analysis for distributed optimization, IEEE Trans. Control of Network Systems, 1, 380-392.

43.  X. Wang, Y. Hong, and H. Ji, 2014, Adaptive multi-agent containment control with multiple parametric uncertain leaders, Automatica, 50, 2366-2372.

44.  J. Thunberg, W. Song, E. Montijano, Y. Hong, and X Hu, 2014, Distributed attitude synchronization control of multi-agent systems with switching topologies, Automatica, 50, 832-840.

45.  Y. Lou, G. Shi, K. Johansson, and Y. Hong, 2014, Approximate projected consensus for convex intersection computation: convergence analysis and critical error angle, IEEE Trans. Automatic Control, 59, 1722-1736.

46.  D. Xu, Y. Hong, and X. Wang, 2014, Distributed output regulation of nonlinear multi- agent systems via host internal model, IEEE Trans. Automatic Control, 59, 2784-2789.

47.  Y. Su, Y. Hong, and J. Huang, 2013, A general result on the robust cooperative output regulation for linear uncertain multi-agent systems, IEEE Trans. Automatic Control, 58, 1275-1280.

48.  Y. Hong, X. Wang, and Z. P. Jiang, 2013, Distributed output regulation of leader-follower multi-agent systems. Int. J. of Robust & Nonlinear Control, 23, 48-66.

49.  G. Shi, K. Johansson, and Y. Hong, 2013, Reaching an optimal consensus: dynamical systems that compute intersections of convex sets, IEEE Trans. Automatic Control, 58, 610-622.

50.  C. Zhai and Y. Hong, 2013, Decentralized sweep coverage algorithm for multi-agent systems with workload uncertainties, Automatica, 49, 2154-2159.

51.  Z. Zhou, H. Fang, and Y. Hong, 2013, Distributed estimation for moving target based on state-consensus strategy, IEEE Trans. Automatic Control, 58, 2096-2101.

52.  X. Xu and Y. Hong, 2013, Matrix approach to model matching of asynchronous sequential machines, IEEE Trans. Automatic Control, 58, 3061-3066.

53.  J. Zhang and Y. Hong, 2013, Opinion evolution analysis for short-range and long-range Deffuant Weisbuch models, Physica A, 392,5289-5297.

54.  G. Shi, Y. Hong, and K. Johansson, 2012, Connectivity and set tracking of multi-agent systems guided by multiple moving leaders, IEEE Trans. Automatic Control, 57, 663-676.

55.  Y. Lou and Y. Hong, 2012, Target aggregation of multiple mobile agents by multiple leaders with Markovian switching topologies, Automatica, 48, 559-563.

56.  Y. Lou and Y. Hong, 2012, Controllability of multi-agent systems with directed and weighted interconnection, Int. J. of Control, 85, 1486-1496.

57.  Y. Hong, Z. P. Jiang, and G. Feng, 2010, Finite-time input-to-state stability and applications to finite-time control design, SIAM J. Control & Optimization, 48, 4395-4418.

58.  X. Wang, Y. Hong, J. Huang, and Z. P. Jiang, 2010, A distributed control approach to a robust output regulation problem for multi-agent linear systems, IEEE Trans. Automatic Control, 55, 2891-2896.

59.  G. Shi and Y. Hong, 2009, Global target aggregation and state agreement of nonlinear multiagent systems with switching topologies, Automatica, 45, 1165-1175.

60.  Y. Hong, G. Chen, and L. Bushnell, 2008, Distributed observers design for leader-following control of multi-agent networks, Automatica, 44, 846-850.

61.  Y. Hong, L. Gao, D. Cheng, and J. Hu, 2007, Lyapuov-based approach to multi-agent systems with switching jointly connected interconnection, IEEE Trans. Automatic Control, 52, 943-948.

62.  J. Hu and Y. Hong, 2007, Leader-following coordination of multi-agent systems with coupling time delays, Physica A, 374, 853-863.

63.  X. Yu, J. Xu, Y. Hong, and S. Yu, 2007, Analysis of a class of discrete-time systems with power rule, Automatica, 43, 562-566.

64.  Y. Hong, J. Wang, and D. Cheng, 2006, Adaptive finite time control of nonlinear systems with parametric uncertainty, IEEE Trans. on Automatic Control, 51, 858-862.

65.  Y. Hong, J. Hu, and L. Gao, 2006, Tracking control for multi-agent consensus with an active leader and variable topology, Automatica, 42, 1177-1182.

66.  Q. Chen, Y. Hong, G. Chen, and D. Hill, 2006, Intermittent phenomena in switched systems with high coupling strengths, IEEE Trans. on Circuits and Systems - I, 53, 2692-2704.

67.  Y. Hong and Z. P. Jiang, 2006, Finite time stabilization of nonlinear systems with parametric and dynamic uncertainties, IEEE Trans. on Automatic Control, 51, 1950-1956.

68.  Y. Hong, J. Wang, and Z. Xi, 2005, Stabilization of uncertain chained form systems within finite settling time, IEEE Trans. Automatic Control, 50(9), 1379-1384.

69.  W. Xie, Y. Hong, and K. Trivedi, 2005, Analysis of a two-level software rejuvenation policy, Reliability Eng. & System Safety, vol. 87, 13-22.

70.  D. Chen, Y. Hong, and K. Trivedi, 2004, Optimal estimation of training interval for channel equalizations, IEEE Trans. on Wireless Communications, vol. 3, 1844-1853.

71.  Y. Hong, Y. Xu, and J. Huang, 2002, Finite time control of robot manipulators, Systems and Control Letters, vol 46, 243-253.

72.  Y. Hong, 2002, Finite time stabilization and stabilizability of a class of controllable systems, Systems and Control Letters, vol 46, 231-236.

73.  Y. Hong, H. Qin, and G. Chen, 2001, Adaptive synchronization of chaotic systems via state and output feedback, Int. J. Bifurcation and Chaos, vol. 11, 1149-1158.

74.  Y. Hong, 2001, H∞ control, stabilization, and input-output stability of nonlinear systems with homogeneous properties, Automatica, vol. 37, no 6, 819-829.

75.  Y. Hong, J. Huang and Y. Xu, 2001, On an output feedback finite time stabilization problem, IEEE Trans. on Automatic Control, vol. 46, 305-309.

76.  Y. Hong, Y. Cao, H. Sun, and K. Trivedi, 2001, RED parameters and performance of TCP connections. Electronics Letters, vol. 37, no. 24, 1489-1491.

77.  P. Chen, H. Qin, D. Cheng, and Y. Hong, 2000, Stabilization of minimum phase nonlinear systems by dynamic output feedback, IEEE Trans. on Automatic Control, vol. 45, 2331-2335.

78.  J. Fang, Y. Hong, and G. Chen, 1999, Switching manifold approach to chaos synchronization, Phys. Rev. E, vol. 59, R2523-2526.

79.  Y. Hong and H. Li, 1998, Nonlinear H1 control and related problems of homogeneous systems, Int. J. of Control, vol. 71, 79-92.

80.  L. Cao, Y. Hong, H. Fang, G. He, 1995, Predicting chaotic time series using wavelet networks, Physica D, vol. 85, 225-238.