Annual Reviews in Control

Annual Reviews in Control

ISSNs: 1367-5788, 0066-4138

Elsevier Limited

Scopus rating (2021): CiteScore 14.8

Journal

Journal Metrics

Research Output

  1. 2020
  2. Published

    Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring

    Qin, S. J., Dong, Y., Zhu, Q., Wang, J. & Liu, Q., 2020, In: Annual Reviews in Control. 50, p. 29-48

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 9
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  3. 2019
  4. Published

    Fundamental limitations and intrinsic limits of feedback: An overview in an information age

    Chen, J., Fang, S. & Ishii, H., 2019, In: Annual Reviews in Control. 47, p. 155-177

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 8
    Check@CityULib
  5. Information-theoretic approaches to privacy in estimation and control

    Nekouei, E., Tanaka, T., Skoglund, M. & Johansson, K. H., 2019, In: Annual Reviews in Control. 47, p. 412-422

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 10
    Check@CityULib
  6. 2014
  7. Optimal operational control for complex industrial processes

    Chai, T., Qin, S. J. & Wang, H., 2014, In: Annual Reviews in Control. 38, 1, p. 81-92

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 71
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  8. 2012
  9. Survey on data-driven industrial process monitoring and diagnosis

    Qin, S. J., Dec 2012, In: Annual Reviews in Control. 36, 2, p. 220-234

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

    Scopus citations: 908
    Check@CityULib