Abstract
This paper investigates the risk-sensitive fixed-point smoothing estimation for linear discrete-time systems with multiple time-delay measurements. The problem considered can be converted into an optimization one in indefinite space. Then the risk-sensitive fixed-point smoother is obtained by solving the optimization problem via innovation analysis theory in indefinite space. Necessary and sufficient conditions guaranteeing the existence of the risk-sensitive smoother are also given when the risk-sensitive parameter is negative. Compared with the conventional approach, a significant advantage of presented approach is that it provides less computational cost.
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This research was supported by the National Natural Science Foundations of China under Grant Nos. 61273124, 61174141, China Postdoctoral Science Foundation under Grant No. 2011M501132, Special Funds for Postdoctoral Innovative Projects of Shandong Province under Grant No. 201103043, Doctoral Foundation of Taishan University under Grant No. Y11-2-02, and A Project of Shandong Province Higher Education Science and Technology Program under Grant No. J12LN90.
This paper was recommended for publication by Editor ZHANG Jifeng.
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Zhao, H., Cui, P. Risk-sensitive fixed-point smoothing estimation for linear discrete-time systems with multiple output delays. J Syst Sci Complex 26, 137–150 (2013). https://doi.org/10.1007/s11424-013-1120-y
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DOI: https://doi.org/10.1007/s11424-013-1120-y