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This work was supported by National Natural Science Foundation of China (Grant Nos. 61573199, 61571441) and Basic Research Projects of High Education (Grant No. 3122015C025).
[1] Cortés J. Finite-time convergent gradient flows with applications to network consensus. Automatica, 2006, 42: 1993-2000 CrossRef Google Scholar
[2] Sundaram S, Hadjicostis C N. Finite-time distributed consensus in graphs with time-invariant topologies. In: Proceedings of American Control Conference, New York, 2007. 711--716. Google Scholar
[3] Long Wang , Feng Xiao . Finite-Time Consensus Problems for Networks of Dynamic Agents. IEEE Trans Automat Contr, 2010, 55: 950-955 CrossRef Google Scholar
[4] Wang X, Hong Y. Distributed finite-time χ-consensus algorithms for multi-agent systems with variable coupling topology. J Syst Sci Complex, 2010, 23: 209-218 CrossRef Google Scholar
[5] Lin P, Ren W, Farrell J A. Distributed Continuous-Time Optimization: Nonuniform Gradient Gains, Finite-Time Convergence, and Convex Constraint Set. IEEE Trans Automat Contr, 2017, 62: 2239-2253 CrossRef Google Scholar
[6] Necoara I, Patrascu A. Randomized projection methods for convex feasibility problems. 2018,. arXiv Google Scholar
[7] Shah S M, Borkar V S. Distributed stochastic approximation with local projections. 2017,. arXiv Google Scholar
[8] Shi G, Johansson K H, Hong Y. Reaching an Optimal Consensus: Dynamical Systems That Compute Intersections of Convex Sets. IEEE Trans Automat Contr, 2013, 58: 610-622 CrossRef Google Scholar
[9] Paden B, Sastry S. A calculus for computing Filippov's differential inclusion with application to the variable structure control of robot manipulators. IEEE Trans Circuits Syst, 1987, 34: 73-82 CrossRef Google Scholar
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