Daqi Zhu, Jing Liu, and Simon X. Yang
[1] D.Q. Zhu, Q. Liu, & Y.S. Yang, An active fault-tolerant control method of unmanned underwater vehicles, International Journal of Advanced Robotic Systems, 34(2), 2002, 135–154. [2] Z. Youmin & J. Jin, Bibliographical review on reconfigurable fault-tolerant control systems, Annual Reviews in Control, 32(2), 2008, 229–252. [3] E. Omerdic & G.N. Roberts, Thruster fault diagnosis and accommodation for open-frame underwater vehicles, Control Engineering Practice, 12, 2004, 1575–1598. [4] E. Omerdic, G.N. Roberts, & D. Toal, Extension of feasible region of control allocation for open-frame underwater vehicles, IFAC Conf. on Control Applications in Marine Systems, Ancona, Italy, 2004, 23–35. [5] T.K. Podder, G. Antonelli, & N. Sarkar, Fault tolerant control of an autonomous underwater vehicle under thruster redundancy: Simulations and experiments, IEEE Int. Conf. on Robotics and Automation, California, USA, 4, 2000, 1251–1256. [6] T.K. Podder & N. Sarkar, Fault-tolerant control of an autonomous underwater vehicle under thruster redundancy, Robotics and Autonomous Systems, 34(1), 2001, 39–52. [7] K.C. Yang, J. Yuh, & S.K. Choi, Experiment study of fault tolerance system design for underwater robots, IEEE Int. Conf. on Robotics and Automation, Leuven, Belgium, 4, 1998, 1051–1056. [8] W.C. Durham, Constrained control allocation, Journal of Guidance, Control and Dynamics, 16(4), 1993, 717–725. [9] D. Enns, Control allocation approaches, AIAA Guidance, Navigation and Control Conference and Exhibit, Boston, 1998, 98–108. [10] J. Kennedy & R.C. Eberhart, Swarm Intelligence (Academic Press, 2001). [11] R. Poli, J. Kennedy, & T. Blackwell, Particle swarm optimization: An overview, Swarm Intelligence, 1, 2007, 33–57. [12] A. Banks, J. Vincent, & C. Anyakoha, A review of particle swarm optimization. Part II: Hybridization, combinatorial, multicriteria and constrained optimization, and indicative applications, 7, 2008, 109–124. [13] R.S. Margarita & C.C. Carlos, A Multi-objective particle swarm optimizers: A survey of the state-of-the-art, International Journal of Computational Intelligence Research, 2(3), 2006, 287–308. [14] A. Mahor, V. Prasad, & S. Rangnekar. Economic dispatch using particle swarm optimization: A review, Renewable and Sustainable Energy Reviews, 13(8), 2009, 2134–2141. [15] Y. Shi & R. Eberhart, Empirical study of particle swarm optimization, Congress on Evolutionary Computation, Washington DC, 1999, 1945–1950. [16] M. Clerc & J. Kennedy, The particle swarm: Explosion, stability, and convergence in a multi-dimensional complexspace. IEEE Transactions on Evolutionary Computation, 6(1), 2002, 58–73. [17] J. Liu, X. Guan, D.Q. Zhu, & J. Sun, Optimization of the enzymatic pretreatment in oat bran protein extraction by particle swarm optimization algorithms for response surface modeling, LWT – Food Science and Technology, 41(10), 2008, 1913–1918. [18] J. Liu & D.Q. Zhu, Thruster fault-tolerant for UUV based on quantum-behaved particle swarm optimization. Studies in Computational Intelligence, 2009, 159–165.
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