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Near-Optimal Controls of Differential Systems with Switching and Random Jumps Subject to Fast Switching and Wideband Noise Perturbation

Near-Optimal Controls of Differential Systems with Switching and Random Jumps Subject to Fast Switching and Wideband Noise Perturbation
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摘要 This work develops near-optimal controls for systems given by differential equations with wideband noise and random switching.The random switching is modeled by a continuous-time,time-inhomogeneous Markov chain.Under broad conditions,it is shown that there is an associated limit problem,which is a switching jump diffusion.Using near-optimal controls of the limit system,we then build controls for the original systems.It is shown that such constructed controls are nearly optimal. This work develops near-optimal controls for systems given by differential equations with wideband noise and random switching.The random switching is modeled by a continuous-time,time-inhomogeneous Markov chain.Under broad conditions,it is shown that there is an associated limit problem,which is a switching jump diffusion.Using near-optimal controls of the limit system,we then build controls for the original systems.It is shown that such constructed controls are nearly optimal.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2016年第1期17-34,共18页 应用数学学报(英文版)
基金 supported in part by the National Science Foundation under DMS-1207667 supported in part by NSFC and RFDP
关键词 regime switching jump diffusion wideband noise martingale problem relaxed control near-optimal control regime switching jump diffusion wideband noise martingale problem relaxed control near-optimal control
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  • 1Bensoussan, A. Perturbation Methods in Optimal Control. J. Wiley, Chichester, 1988.
  • 2Blankenship, G.B., Papanicolaou, G.C. Stability and control of stochastic systems with wide band noise. SIAM J. Appl. Math., 34:437 476 (1978).
  • 3Ethier, S.N., Kurtz, T.G. Markov Processes: Characterization and Convergence. J. Wiley, New York, NY, 1986.
  • 4Fleming, W.H., Nisio, M. On stochastic relaxed controls for partially observable diffusions. Nagoya Math. J., 9'3:71-108 (1984).
  • 5Guo, X., Hern'gndez-Lerma, O. Continuous-time Markov Decision Processes: Theory and Applications. Springer, Heidelberg, 2001.
  • 6Jasso-Fuentes, H., Yin, G. Advanced Criteria for controlled Markov-Modulated Diffusions in an Infinite Horizon: Overtaking, Bias, and Blackwell Optimality. Science Press, Beijing, 2013.
  • 7Kurtz, T.G. Semigroups of conditioned shifts and approximation of Markov processes. Ann. Probab., 3: 618-642 (1975).
  • 8Kushner, H.J. Approximation and Weak Convergence Methods for Random Processes, with Applications to Stochastic Systems Theory. MIT Press, Cambridge, MA, 1984.
  • 9Kushner, H.J. Weak Convergence Methods and Singularly Perturbed Stochastic Control and Filtering Problems. Birkhguser, Boston, MA, 1990.
  • 10Kushner, H.J., Runggaldier, W. Nearly optimal state feedback controls for stochastic systems with wideband noise disturbances. SlAM J. Control Optim., 25:289-315 (1987).

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