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Bahar, Arifah and Dong, Ran and Mao, Xuerong (2022) Stabilisation in distribution of hybrid ordinary differential equations by periodic noise. IET Control Theory and Applications. ISSN 1751-8644 (In Press)

Li, Wenrui and Deng, Shounian and Fei, Weiyin and Mao, Xuerong (2022) Stabilisation in distribution by delay feedback control for stochastic differential equations with Markovian switching and Lévy noise. IET Control Theory and Applications, 16 (13). pp. 1312-1325. ISSN 1751-8644

Jiang, Yanan and Hu, Liangjian and Lu, Jianqiu and Mao, Wei and Mao, Xuerong (2021) Stabilization of hybrid systems by intermittent feedback controls based on discrete-time observations with a time delay. IET Control Theory and Applications, 15 (16). pp. 2039-2052. 2039-2052. ISSN 1751-8644

Wang, Yihao and Huang, Yanli and Yang, Erfu (2020) Event-triggered communication for passivity and synchronisation of multi-weighted coupled neural networks with and without parameter uncertainties. IET Control Theory and Applications, 14 (9). pp. 1228-1239. ISSN 1751-8644

Dong, Ran and Mao, Xuerong and Birrell, Stewart A (2020) Exponential stabilisation of continuous-time periodic stochastic systems by feedback control based on periodic discrete-time observations. IET Control Theory and Applications, 14 (6). pp. 909-919. ISSN 1751-8644

Mei, Chunhui and Fei, Chen and Fei, Weiyin and Mao, Xuerong (2020) Stabilisation of highly non-linear continuous-time hybrid stochastic differential delay equations by discrete-time feedback control. IET Control Theory and Applications, 14 (2). pp. 313-323. ISSN 1751-8644

Xu, Huan and Ding, Feng and Yang, Erfu (2020) Recursive search-based identification algorithms for the exponential autoregressive time series model with coloured noise. IET Control Theory and Applications, 14 (2). pp. 262-270. ISSN 1751-8644

Liu, Qinyao and Ding, Feng and Xu, Ling and Yang, Erfu (2019) Partially coupled gradient estimation algorithm for multivariable equation-error autoregressive moving average systems using the data filtering technique. IET Control Theory and Applications, 13 (5). pp. 642-650. ISSN 1751-8644

Chen, Mengting and Ding, Feng and Yang, Erfu (2018) Gradient-based iterative parameter estimation for bilinear-in-parameter systems using the model decomposition technique. IET Control Theory and Applications, 12 (17). pp. 2380-2389. ISSN 1751-8644

Zhang, Xiao and Ding, Feng and Xu, Ling and Yang, Erfu (2018) State filtering-based least squares parameter estimation for bilinear systems using the hierarchical identification principle. IET Control Theory and Applications. pp. 1-10. ISSN 1751-8644

Zhang, Jianhua and Zhou, Shuqing and Ren, Mifeng and Yue, Hong (2016) Adaptive neural network cascade control system with entropy-based design. IET Control Theory and Applications, 10 (10). pp. 1151-1160. ISSN 1751-8644

Grimble, Michael and Majecki, Pawel (2015) Non-linear predictive generalised minimum variance state-dependent control. IET Control Theory and Applications. pp. 2438-2450. ISSN 1751-8644

Zhang, Liguo and Mao, Xuerong (2015) Vehicle density estimation of freeway traffic with unknown boundary demand-supply : an IMM approach. IET Control Theory and Applications, 9 (13). pp. 1989-1995. ISSN 1751-8644

Grimble, Michael and Majeckie, Pawel (2013) Non-linear generalised minimum variance control using unstable state-dependent multivariable models. IET Control Theory and Applications. ISSN 1751-8644 (In Press)

Hur, S.-H and Katebi, R. and Taylor, A. (2011) Model-based fault monitoring of a plastic film extrusion process. IET Control Theory and Applications, 5 (18). pp. 2075-2088. ISSN 1751-8644

Giovanini, L. (2011) Game approach to distributed model predictive control. IET Control Theory and Applications, 5 (15). pp. 1729-1739. ISSN 1751-8644

Wahab, N.A. and Katebi, M.R. and Balderud, J. and Rahmat, M.F. (2011) Data-driven adaptive model-based predictive control with application in wastewater systems. IET Control Theory and Applications, 5 (6). pp. 803-812. ISSN 1751-8644

Grimble, M.J. and Majecki, P.M. (2010) Polynomial approach to nonlinear predictive generalized minimum variance control. IET Control Theory and Applications, 4 (3). pp. 411-424. ISSN 1751-8644