数学系邀请报告:Distributed Control Based on Dissipativity Theory

发布者:周春宇发布时间:2022-12-19浏览次数:10





参考文献:

  1. Li W; Yan Y; Bao J, 2023, Data-Based Fault Diagnosis via Dissipativity-Shaping, IEEE Control Systems Letters, vol. 7, pp. 484 - 489, http://dx.doi.org/10.1109/LCSYS.2022.3193978

  2. Wei L; McCloy R; Bao J; Cranney J, 2022, Discrete-time contraction constrained nonlinear model predictive control using graph-based geodesic computation, AIChE Journal, vol. 68, http://dx.doi.org/10.1002/aic.17830

  3. Wei L; McCloy R; Bao J, 2022, Contraction analysis and control synthesis for discrete-time nonlinear processes, Journal of Process Control, vol. 115, pp. 58 - 66, http://dx.doi.org/10.1016/j.jprocont.2022.04.016

  4. Xiao G; Yan Y; Bao J; Liu F, 2021, Robust distributed economic model predictive control based on differential dissipativity, AIChE Journal, vol. 67, http://dx.doi.org/10.1002/aic.17198

  5. McCloy RJ; Wang R; Bao J, 2021, Differential dissipativity based distributed MPC for flexible operation of nonlinear plantwide systems, Journal of Process Control, vol. 97, pp. 45 - 58, http://dx.doi.org/10.1016/j.jprocont.2020.11.007

  6. Li W; Yan Y; Bao J, 2020, Dissipativity-based distributed fault diagnosis for plantwide chemical processes, Journal of Process Control, vol. 96, pp. 37 - 48, http://dx.doi.org/10.1016/j.jprocont.2020.10.007

  7. Yan Y; Wang R; Bao J; Zheng C, 2019, Robust distributed control of plantwide processes based on dissipativity, Journal of Process Control, vol. 77, pp. 48 - 60, http://dx.doi.org/10.1016/j.jprocont.2019.02.002

  8. Wang R; Zhang X; Bao J, 2019, A self-interested distributed economic model predictive control approach to battery energy storage networks, Journal of Process Control, vol. 73, pp. 9 - 18, http://dx.doi.org/10.1016/j.jprocont.2018.11.003

  9. Wang R; Bao J, 2017, Distributed plantwide control based on differential dissipativity, International Journal of Robust and Nonlinear Control, vol. 27, pp. 2253 - 2274, http://dx.doi.org/10.1002/rnc.3681

  10. Tippett MJ; Bao J, 2014, Control of plant-wide systems using dynamic supply rates, Automatica, vol. 50, pp. 44 - 52, http://dx.doi.org/10.1016/j.automatica.2013.09.028

  11. Hioe D; Bao J; Hudon N, 2013, Interaction analysis and geometric interconnection decoupling for networks of process systems, AIChE Journal, vol. 59, pp. 2795 - 2809, http://dx.doi.org/10.1002/aic.14059

  12. Hioe D; Bao J; Ydstie BE, 2013, Dissipativity analysis for networks of process systems, Computers and Chemical Engineering, vol. 50, pp. 207 - 219, http://dx.doi.org/10.1016/j.compchemeng.2012.11.010

  13. Tippett MJ; Bao J, 2013, Dissipativity based distributed control synthesis, Journal of Process Control, vol. 23, pp. 755 - 766, http://dx.doi.org/10.1016/j.jprocont.2013.03.004

  14. Tippett MJ; Bao J, 2013, Distributed model predictive control based on dissipativity, AIChE Journal, vol. 59, pp. 787 - 804, http://dx.doi.org/10.1002/aic.13868




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