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A Separation Theorem for Stochastic Singular Linear Quadratic Control Problem with Partial Information

A Separation Theorem for Stochastic Singular Linear Quadratic Control Problem with Partial Information
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摘要 In this paper, we provide a separation theorem for the singular linear quadratic (LQ) control problem of ItS-type linear systems in the case of the state being partially observable. Above all, the Kalmam Bucy filtering of the dynamics is given by means of Girsanov transformation, by which the suboptimal feedback control of the LQ problem is determined. Furthermore, it is shown that the well-posedness of the LQ problem is equivalent to the solvability of a generalized differential Riccati equation (GDRE). In this paper, we provide a separation theorem for the singular linear quadratic (LQ) control problem of ItS-type linear systems in the case of the state being partially observable. Above all, the Kalmam Bucy filtering of the dynamics is given by means of Girsanov transformation, by which the suboptimal feedback control of the LQ problem is determined. Furthermore, it is shown that the well-posedness of the LQ problem is equivalent to the solvability of a generalized differential Riccati equation (GDRE).
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2013年第2期303-314,共12页 应用数学学报(英文版)
基金 Supported by the National Natural Science Foundation of China (Grant No. 61174078) the Mathematical Tianyuan Youth Foundation of China (Grant No. 11126094) the Key Project of Natural Science Foundation of Shandong Province (Grant No. ZR2009GZ001) the research project of "SDUST Spring Bud" (Grant No.2009AZZ074)
关键词 singular optimal control Kalman-Bucy filtering separation theorem linear systems generalizeddifferential Riccati equation singular optimal control Kalman-Bucy filtering separation theorem linear systems generalizeddifferential Riccati equation
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