WU Si, LIU Tengfei
|  Latombe J C, Robot Motion Planning, Kluwer Academic Publishers, Boston, 1991.
 Arkin R C, Behavior-Based Robotics, MIT Press, Cambridge, Massachusetts, 1998.
 Choset H, Lynch K M, Hutchinson S, et al., Principles of Robot Motion: Theory, Algorithms, and Implementations, MIT Press, Cambridge, Massachusetts, 2005.
 Ren W and Beard R W, Distributed Consensus in Multi-Vehicle Cooperative Control: Theory and Applications, Springer, New York, 2008.
 Bullo F, Cortés J, and Martinez S, Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms, Princeton University Press, Princeton, 2009.
 Mesbahi M and Egerstedt M, Graph Theoretic Methods in Multiagent Networks, Princeton University Press, Princeton, 2010.
 Xu X, Tabuada P, Grizzle J W, et al., Robustness of control barrier functions for safety critical control, Proceedings of the 19th IFAC World Congress, 2014, 54–61.
 Jankovic M, Robust control barrier functions for constrained stabilization of nonlinear systems, Automatica, 2018, 96: 359–367.
 Ames A, Coogan S, Egerstedt M, et al., Control barrier functions: Theory and applications, Proceedings of the 18th European Control Conference, 2019, 3420–3431.
 Ames A D, Xu X, Grizzle J W, et al., Control barrier function based quadratic programs for safety critical systems, IEEE Transactions on Automatic Control, 2017, 62: 3861–3876.
 Wang L, Ames A D, and Egerstedt M, Safety barrier certificates for collisions-free multirobot systems, IEEE Transactions on Robotics, 2017, 33: 661–674.
 Singletary A, Nilsson P, Gurriet T, et al., Online active safety for robotic manipulators, 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), IEEE, 2019, 173–178.
 Glotfelter P, Buckley I, and Magnus E, Hybrid nonsmooth barrier functions with applications to provably safe and composable collision avoidance for robotic systems, IEEE Robotics and Automation Letters, 2019, 4(2): 1303–1310.
 Morris B J, Powell M J, and Ames A D, Continuity and smoothness properties of nonlinear optimization-based feedback controllers, Proceedings of the 54th IEEE Conference on Decision and Control, 2015, 151–158.
 Duan G R, High-order system approaches: I. Fully-actuated systems and parametric designs, Acta Automatica Sinica, 2020, 46(7): 1333–1345.
 Duan G R, High-order system approaches: II. Controllability and full-actuation, Acta Automatica Sinica, 2020, 46(8): 1571–1581.
 Duan G R, High-order system approaches: III. Observability and observer design, Acta Automatica Sinica, 2020, 46(9): 1885–1895.
 Duan G R, High-order fully actuated system approaches: Part I. Models and basic procedure, International Journal of Systems Science, 2021, 52(2): 422–435.
 Khalil H K, Nonlinear Systems, 3rd Edition, Prentice-Hall, NJ, 2002.
 Romdlony M Z and Jayawardhana B, Stabilization with guaranteed safety using control Lyapunovbarrier function, Automatica, 2016, 66: 39–47.
 Kolathaya S and Ames A D, Input-to-state safety with control barrier functions, IEEE Control Systems Letters, 2019, 3: 108–113.
 Fox D, Burgard W, and Thrun S, The dynamic window approach to collision avoidance, IEEE Robotics & Automation Magazine, 1997, 4: 23–33.
 Boyd S P and Vandenberghe L, Convex Optimization, Cambridge University Press, Cambridge, 2004.
 Bertsekas D P, Nonlinear Programming, 2nd Edition, Athena Scientific, Massachusetts, 1999.
 Hager W W, Lipschitz continuity for constrained processes, SIAM Journal on Control and Optimization, 1979, 17: 321–338.
 Sontag E D, Input to state stability: Basic concepts and results, Eds. by Nistri P and Stefani G, Nonlinear and Optimal Control Theory, Springer-Verlag, Berlin, 2007, 163–220.
 Binmore K G, Mathematical Analysis: A Straightforward Approach, Cambridge University Press, Cambridge, 1982.
 Jiang Z P, Teel A R, and Praly L, Small-gain theorem for ISS systems and applications, Mathematics of Control, Signals, and Systems, 1994, 7: 95–120.
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