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State Observation and Estimation

  • Kumar Pakki Bharani Chandra
  • Da-Wei GuEmail author
Chapter

Abstract

Basically, the term “Filtering” is referred to a technique to extract information (signal in this context) from noise contaminated observations (measurements). If the signal and noise spectra are essentially non-overlapping, the design of a frequency domain filter that allows the desired signal to pass while attenuating the unwanted noise would be a possibility. A classical filter could be either low pass, band pass/stop or high pass. However, when the noise and information signals are overlapped in spectrum, then the design of a filter to completely separate the two signals would not be possible. In such a situation the information has to be retrieved through estimation, smoothing or prediction. Figure 2.1 shows a general diagram of an open-loop system (plant) subject to noise contamination at the output end.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.GMR Institute of TechnologyRajamIndia
  2. 2.Department of EngineeringUniversity of LeicesterLeicesterUK

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