IET Control Theory & Applications: Most Cited Papers From 2017, 2018 And 2019
I would like to share with you the most cited papers published in 2017, 2018 and 2019 in IET Control Theory & Applications; an IET journal growing in size and impact in your research field.
Impact Factor: 3.526, 5-year Impact Factor: 3.423, CiteScore: 4.21, SNIP: 1.3, SJR: 1.363
Optimal control for networked control systems with disturbances: A delta operator approach, Yuan, Y., Yuan, H., Wang, Z., Guo, L., Yang, H., 2017, 11(9), pp.1325-1332
Survey on semi-tensor product method with its applications in logical networks and other finite-valued systems, Lu, J., Li, H., Yang, L., Li, F., 2017, 11(13), pp. 2040-2047
Parameter estimation for pseudo-linear systems using the auxiliary model and the decomposition technique, Ding, F., Wang, F., Xu, L., Hayat, T., Alsaedi, A, 2017, 11(3), pp.390-400
Iterative parameter identification for pseudo-linear systems with ARMA noise using the filtering technique, Ding, F., Xu, L., Alsaadi, F.E., Hayat, T., 2018, 12(7), pp. 892-899
State filtering-based least squares parameter estimation for bilinear systems using the hierarchical identification principle, Zhang, X., Ding, F., Xu, L., Yang, E., 12(12), pp. 1704-1713
Leader-following mean square consensus of stochastic multi-agent systems with input delay via event-triggered control, Tan, X., Cao, J., Li, X., Alsaedi, A., 12(2), pp. 299-309
Overview of recent advances in stability of linear systems with time-varying delays, Zhang, X.-M., Han, Q.-L., Seuret, A., Gouaisbaut, F., He, Y., 13(1), pp. 1-16
Finite-time ℋ∞ filtering for Itô stochastic Markovian jump systems with distributed time-varying delays based on optimisation algorithm, Wu, Z., Jiang, B., Kao, Y., 13(5), pp. 702-710
Generalised state estimation of Markov jump neural networks based on the Bessel–Legendre inequality, Shen, H., Jiao, S., Xia, J., Park, J.H., Huang, X., 13(9), pp. 1284-1290
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