Spatiotemporal fault estimation for switched nonlinear reaction–diffusion systems via adaptive iterative learning

Henan University of Science and Technology · University of Kragujevac

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Abstract

Summary In this paper, an iterative learning‐based spatiotemporal fault estimation issue in switched reaction–diffusion systems is investigated. Initially, average dwell‐time switching rules are utilized to describe a class of switched reaction–diffusion systems characterized by mode jumps. Then, different from the existing fault estimation methods, a fault estimator is designed for spatiotemporal faults to realize an accurate estimation of faults by using the iterative learning strategy. Subsequently, to improve the speed of fault estimation, an adaptive iterative learning‐based fault estimation law is proposed, which can achieve faster fault estimation by continuously adjusting the iterative learning gain.…

Citation impact

120
total citations
FWCI
38.50
Percentile
100%
References
42
Citations per year

Authors

4

Topics & keywords

Keywords
  • Iterative learning control
  • Computer science
  • Fault (geology)
  • Estimator
  • Iterative method
  • Control theory (sociology)
  • Convergence (economics)
  • Nonlinear system
UN Sustainable Development Goals
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