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半Markov过程基于性能势的灵敏度分析和性能优化 被引量:1

Sensitivity analysis and performance optimization of semi-Markov processes based on performance potentials
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摘要 基于性能势的方法 ,研究了一类半Markov过程 (SMP)的性能灵敏度分析和平均费用下的性能优化问题 .将SMP转化为与之等价的离散时间Markov链 (DTMC) ,利用DTMC的性能势 ,对SMP进行灵敏度分析和性能优化 ,得到了SMP基于DTMC性能势的灵敏度分析公式和最优性方程 .最后给出了一个数值例子以表明该方法的应用 . Based on performance potential theories,the sensitivity analysis and performance optimization of the semi-Markov process(SMP) under the average cost criterion are studied.By applying the transformation of the SMP to the discrete-time Markov chain(DTMC),the potential of the DTMC is used to obtain the sensitivity formula and optimality equation of SMP.Finally,a numerical example is provided to illustrate the applicability of the method.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2004年第6期1032-1035,共4页 Control Theory & Applications
基金 国家自然科学基金项目 (60 2 740 12 ) 安徽省自然科学基金项目 (0 10 42 3 0 8)
关键词 半Markov过程 性能势 灵敏度分析 最优性方程 semi-Markov process performance potential sensitivity analysis optimality equation
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  • 1CAO X R,CHEN H F.Perturbation realization,potentials and sensitivity analysis of Markov Processes [J]. IEEE Trans on Automatic Control, 1997,42(10):1382-1393.
  • 2PUTERMAN M L. Markov Decision Processes:Discrete Stochastic Dynamic Programming [M].New York:Wiley,1994.
  • 3CAO X R.Semi-Markov decision problems and performance sensitivity analysis [J]. IEEE Trans on Automatic control, 2003,48(5):758-769.
  • 4ROSS S M. Stochastic Process [M].New York:John Wiley and Sons,1983.
  • 5CAO X R.A unified approach to Markov decision problems and performance sensitivity analysis [J]. Automatica, 2000,36(5): 771-774.
  • 6殷保群,周亚平,杨孝先,奚宏生,孙德敏.状态相关闭排队网络中的性能指标灵敏度公式[J].控制理论与应用,1999,16(2):255-257. 被引量:15
  • 7奚宏生,唐昊,殷保群.连续时间MCP在紧致行动集上的最优策略(英文)[J].自动化学报,2003,29(2):206-211. 被引量:12

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  • 1沈明辉,陈磊,吴瑞林,周伯昭.大气层内动能拦截器的脱靶量分析[J].宇航学报,2007,28(1):49-52. 被引量:5
  • 2ZARCHAN E Tactical and Strategic Missile Guidance [M]. Reston, Virginia, American: American Institute of Aeronantics and Astronau- tics, Inc., 2012.
  • 3WEISS M, BUCCO D. Robust performance analysis of hybrid guid- ance loop models [C] //AIAA Guidance, Navigation, and Control Conference. Toronto: AIAA, 2010:1 - 10.
  • 4CAO Y, LI S T, PETZOLD differential-algebraic equation: L. Adjoint sensitivity analysis for algorithms and software [J]. Journal of Computational and Applied Mathematics, 2002, 149(1): 171 - 191.
  • 5SANDU A, DAESCU D N, CARMICHAEL G R. Direct and adjoin- t sensitivity analysis of chemical kinetic systems with KPP: Part I -- theory and software tools [J]. //Atmospheric Environment, 2003, 37(36): 5083 - 5096.
  • 6EYI S, LEE K. Effects of sensitivity analysis on airfoil design [C] I/The 36th A1AA Aerospace Sciences Meeting and Exhibit. Reno, NV: American Institute of Aeronautics and Astronautics, Inc., 1998:1 - 11.
  • 7BRAUN R D, PUTNAM Z R, STEINFELDT B A, et al. Advances in inertial guidance technology for aerospace systems [C]//AIAA Guid- ance, Navigation, and Control Conference. Boston: AIAA, 2013:1 -18.
  • 8LEE Y L, KIM S H, LEE J I, et al. Analytic solutions of general- ized impact-angle control guidance law for first-order lag system [J]. Journal of Guidance, Control, and Dynamics, 2013, 36(1): 96 - 112.
  • 9BISCHOF C, CARLE A, CORLISS G, et al. ADIFOR-generating derivative codes from fortran programs [J]. Scientific Programming, 1992, 1(1): 11 - 29.
  • 10SIOURIS G. Missile Guidance and Control Systems [M]. New York: Springer-Verlag, 2004.

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