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双重不确定性系统的跟踪与辨识 被引量:4

Tracking and identification for system with dual uncertainties
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摘要 对于具有未知参数的高斯白噪声随机线性系统,提出了一个有效的自适应控制策略.控制器一方面能够控制系统朝着期望的目标运行,另一方面又能对未知参数进行辨识.对于给定的效用函数,能够在跟踪与辨识间获得最佳平衡.仿真结果表明了该方法的有效性. An efficient adaptive control scheme is presented for Gaussian white noises stochastic linear system with unknown parameters.On the one hand,the controller can control the system operation toward the desired state,on the other hand,it can identify the unknown parameters.The optimal tradeoff between tracking and identification can be obtained for given utility function.Simulation results show the validation of the approach developed in this paper.
出处 《系统工程理论与实践》 EI CSSCI CSCD 北大核心 2012年第4期839-846,共8页 Systems Engineering-Theory & Practice
基金 国家自然科学基金(60874033) 高等学校博士学科点专项科研基金(20116118110008)
关键词 不确定性系统 鲁棒控制 自适应控制 uncertainty system robust control adaptive control
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参考文献14

  • 1Li D.Qian F C.Fu P L.Variance minimization approach for a class of dual control problems[J].IEEE Trans Automatic Control,2002,47(12):2010-2020.
  • 2Carew B,Belaxger P.Identification of optimum filter steady-state gain for systems with unknown noise eovariances [J].IEEE Trans Automatic Control,1973,18(6):582-587.
  • 3Chen J,Behal A,Dawson D M.Robust feedback control for a class of uncertain MIMO nonlinear systems[J]. Trans Automatic Control,2008,53(2):591-596.
  • 4Petersen I R.Robust unobservability for uncertain linear systems with structured uncertainty[J].IEEE Trans Automatic Control.2007.52(8):1461-1470.
  • 5French M.Adaptive control and robustness in the gap metric[J].IEEE Trans Automatic Control,2008.53(2): 461-478.
  • 6Stein G,Saridis G N.A parameter adaptive control technique[J].Automatica,1969,5(6):731-739.
  • 7Milito R,Padilla C.Padilla R,et al.An innovation approach to dual control[J].IEEE Trans Automatic Control, 1982,27(1):132-137.
  • 8Li D.Qian F C,Fu P L.Variance minimization in stochastic systems[C]// Stochastic Modeling and Control, Springer,New York.2002.
  • 9Li D,Qian F C,Gao J J.Performance-first control for discrete-time LQG problem[.J],IEEE Trans Automatic Control,2009,54(9):2225 2230.
  • 10Fu P L,Li D,Qian F C.Active dual control for linear-quadratic Gaussian system with unknown parameters[C]// Proceedings of the 15th World Congress of IFAC,Barcelona,Spain.2002:21 26.

同被引文献47

  • 1徐伟,都琳,许勇.非线性随机动力系统研究的若干进展[J].工程数学学报,2006,23(6):951-960. 被引量:14
  • 2Zhang Hai-tao and Zhao Yu-jitm. The performance comparsion and analysis of extended Kalman filters for GPS/ DR navigation[J]. Optik- International Journal for Light and Electron Optics, 2011, 122(9): 777-781.
  • 3Yang Xiao-yun and He Heng. GPS/DR integrated navigation system based on adaptive robust kalman filter[C]. International Conference on Microwave and Millimeter Wave Technology, Nanjing, 2008: 1946-1949.
  • 4Choi Eun-jung, Yoon Jae-cheol, Lee Byoung-sun, et al.. Onboard orbit determination using GPS observations basedon the unscented Kalman filter[J]. Advances in Space Research, 2010, 46(11): 1440-1450.
  • 5Akca T and Demirekler M. An adaptive unscented Kalman filter for tightly coupled INS/GPS integration[C]. Position Location and Navigation Symposium (PLANS), South Carolina. 2012: 389-395.
  • 6Kitagawa G. A self-organizing state-space model[J]. Journal of the American Statistical Association, 1998, 93(443): 1203-1215.
  • 7Huseler M and Kunsch H R. Approximating and maximizing the likelihood for a general state-space model[C]. Seminar on Sequential MonteCarlo Methods, Heidelberg, 2001: 159-175.
  • 8Koiti Yano. A self-organizing state space model and simplex initial distribution search[J]. Computational Statistics, 2008, 23(2): 197-216.
  • 9Jiang Ming-yan and Zhu Kong-cun. Multiobjective optimization by artificial fish swarm algorithm[C]. Computer Science and Automation Engineering (CSAE), Shanghai, 2011: 506-511.
  • 10Li D, Qian F C, Fu P L. Optimal nominal dual control for discrete-time LQG problem with unknown parame- ters[J]. Automatica, 2008, 44(1): 119-127.

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