期刊文献+

通讯访问约束条件下线性随机系统的状态可估计性 被引量:3

On state estimability of linear stochastic system under communication access constraints
下载PDF
导出
摘要 本文从信息论的视角考察了线性离散随机系统在访问约束情况下的可估计性问题.针对系统中存在的访问约束所带来的通讯冲突现象,采用一个二值向量函数描述系统中各个输出信号的通讯状态.针对这类对象,根据由互信息定义的可估计性概念,讨论了访问约束系统的状态估计问题,得出了在输出检测信号传输存在访问约束情况下的状态可估计性条件,解析分析和仿真结果表明,存在合理的通信序列,使得系统在访问约束情况下,能够保持其状态可估计性.本文还证明了在访问约束条件下随机系统的可估计性和相应的确定性系统的能观性之间的等价关系. The problem of estimability is discussed for linear multivariable discrete-time stochastic systems with com-munication access constraints.To deal with the communication constraints caused by the limited access,a binary-value function is used to describe the access status of the output signals.Based on the measure of mutual information,the problem of state estimability is discussed and a condition for estimability under access constraints is derived.Analytical analysis and simulation results show that there exist proper communication strategies which preserve the estimability of the system under communication access constraints.Furthermore,an equivalent relation between the estimability of stochastic system and the observability of corresponding deterministic system is proved under communication access constraints.
作者 王丽娟 章辉
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2011年第9期1111-1118,共8页 Control Theory & Applications
基金 国家自然科学基金资助项目(61174063 61074123) 国家自然科学基金重点资助项目(60736021)
关键词 访问约束 可估计性 能观性 通信策略 互信息 access constraints estimability observability communication strategy mutual information
  • 相关文献

参考文献17

  • 1ZHANG Y, ZHONG Q, WEI L. Stability analysis of networked con- trol systems with transmission delays[C]//Proceedings of 2008 Chi- nese Control and Decision Conference. Piscataway, N J, USA: IEEE, 2008, 7:340 - 343.
  • 2SINSUKE O, URANO Y, MATSUNO E The control of constrained system with time-delay and its experimental evaluations using RC model heficopter[C]//Proceedings of 2007 International Conference on Control, Automation and Systems. Piscataway, NJ, USA: IEEE, 2007, 10: 2897- 2901.
  • 3HRISTU-VARSAKELIS D, KUMAR P R. Interrupt-based feedback control over a shared communication medium[C] I/Proceeding of the 41st IEEE Conference on Design and Control. Piscataway, NJ, USA: IEEE, 2002, 10:3223 - 3228.
  • 4HRISTU-VARSAKELIS D, ZHANG L. LQG control of networked control systems with access constrains and delays[J]. International Journal of Control, 2008, 81(8): 1266 - 1280.
  • 5IONETE C, CELA A. Structural properties and stabilization of NCS with medium access constraints[C]//Proceedings of the 48th IEEE Conference on Decision and Control. Piscataway, NJ, USA: IEEE, 2006, 10:1141 - 1146.
  • 6LU L L, XIE L H, FU M Y. with limited Optimal control of networked systems a combined heuristic and convex opti- mization approach[C]//Proceedings of the 42nd IEEE Conference on Design and Control. Piscataway, NJ, USA: IEEE, 2003, 10:1194 - 1199.
  • 7RENBINDER H, SANFRIDSON M. Scheduling of a limited com- munication channel for optimal control[C]//Proceedings of the 39th IEEE Conference on Design and Control. Piscataway, NJ, USA: IEEE, 2000, 10:1011 - 1066.
  • 8WANG Y L, LING X, GUI W H. LQG optimal control of networked control systems with limited communication channels[C]//Proceed- ings of the 2009 Chinese Control and Decision Conference. Piscat- away, NJ, USA: 1EEE, 2009, 6:1574 - 1579.
  • 9ZHANG L, HRISTU-VARSAKELIS D. LQG control under limited communication[C] //Proceedings of the 44th 1EEE Conference on Decision and Control, and the European Control Conference 2005. Piscataway, NJ, USA: IEEE, 2005, 10:185 - 190.
  • 10ZHANG L, HRISTU-VARSAKELIS D. Stabilization of networked control systems: designing effective communication sequences[R]//Proceedings of the 16st International Federation Automatic Con- trol World Congress. Research Triangle Park, NC: Army Research Office, 2005, 0704-0188.

二级参考文献3

  • 1李树英,随机系统的滤波与控制,1991年
  • 2王宏禹,随机数字信号处理,1988年
  • 3Astrom K,随机控制理论导论,1983年

共引文献4

同被引文献31

  • 1章辉,孙优贤.随机系统的可估计性──信息理论方法[J].控制理论与应用,1996,13(5):567-572. 被引量:5
  • 2HRISTU-VARSAKELIS D, ZHANG L. LQG control of networked control systems with access constraints and delays[J]. International Journal of Control, 2008, 81(8): 1266- 1280.
  • 3KAPUR J N. Application of entropic measures of stochastic depen- dence in pattern recognition[J]. Pattern Recognition, 1986, 19(6): 473 - 476.
  • 4JAIN A K. Image data compression: a review[J]. Proceedings of the IEEE, 1981, 69(3): 349 - 389.
  • 5RAMABADRAN T V, DEEPEN S. On the selection of measurements in least-squares estimation[C]//Proceedings of the 1EEE 1989 Inter- national Conference on Systems Engineering. Piscataway, NJ: IEEE, 1989:221 - 226.
  • 6RAMABADRAN T V, DEEPEN S. Speech data compression through sparse coding of innovations[J]. IEEE Transactions on Speech and Audio Processing, 1994, 2(2): 274 - 284.
  • 7ARILDSEN T, MURTHI M N, ANDERSEN S V, et al. On predic- tive coding for erasure channels using a Kalman framework[J]. IEEE Transactions on Signal Processing, 2009, 57(11): 4456 - 4466.
  • 8WEIDEMANN H L, STEAR E B. Entropy analysis of estimating systems[J]. IEEE Transactions on Information Theory, 1970, 16(3): 264 - 270.
  • 9CHARLES J, MEADOW J R, FISHER THOMAS R, et al. Optimum rate allocation in quantized control[J]. Optimal Control Applications & Methods, 1986, 7(4): 377 - 388.
  • 10FISHER T R, TINNIN D J. Quantized control using differential en- coding[J]. Optimal Control Applications & Methods, 1984, 5(1): 69 - 83.

引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部