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H Filtering

  • Shengyuan Xu
  • James Lam
Chapter
  • 5.5k Downloads
Part of the Lecture Notes in Control and Information Science book series (LNCIS, volume 332)

Abstract

The H filtering problem for state-space systems has received much attention in the past two decades. In the H setting, the noises are assumed to be arbitrary deterministic signals with bounded energy (or average power). Compared with the traditional Kalman filtering, the H filtering approach does not require knowledge of the statistical properties of the external noises, and the designed filter in the H setting is more robust against additional parameter uncertainties in the system model. These properties make the H filtering technique useful in many applications. A great number of results on H filtering for state-space systems have been reported in the literature; see, for example, [60, 130, 142, 193], and the references cited therein.

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Authors and Affiliations

  • Shengyuan Xu
    • 1
  • James Lam
    • 2
  1. 1.Department of Automation Nanjing University of Science and Technology, Nanjing 210094P. R. China
  2. 2.Department of Mechanical Engineering, The University of Hong Kong, 7/F Haking Wong Building, Pokfulam Road, Hong KongP. R. China

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