| 1 |
An Improved Homogeneous Polynomial Approach for Adaptive Sliding-Mode Control of Markov Jump Systems With Actuator Faults
Du CL, Li FB, Yang CH
IEEE Transactions on Automatic Control, 65(3), 955, 2020 |
| 2 |
Stability Analysis of Discrete-Time Semi-Markov Jump Linear Systems
Wang B, Zhu QX
IEEE Transactions on Automatic Control, 65(12), 5415, 2020 |
| 3 |
New Results on Stability Analysis of Markovian Switching Singular Systems
Xiao XQ, Park JH, Zhou L, Lu GP
IEEE Transactions on Automatic Control, 64(5), 2084, 2019 |
| 4 |
Reduced-order filtering for networks with Markovian jumping parameters and missing measurements
Peng H, Lu RQ, Shi P, Xu Y
International Journal of Control, 92(12), 2737, 2019 |
| 5 |
Reinforcement learning-based real-time power management for hybrid energy storage system in the plug-in hybrid electric vehicle
Xiong R, Cao JY, Yu QQ
Applied Energy, 211, 538, 2018 |
| 6 |
A Hybrid Design Approach for Output Feedback Exponential Stabilization of Markovian Jump Systems
Song J, Niu YG, Lam J, Shu Z
IEEE Transactions on Automatic Control, 63(5), 1404, 2018 |
| 7 |
H-infinity and H-2 filtering for linear systems with uncertain Markov transitions
Li XW, Lam J, Gao HJ, Xiong JL
Automatica, 67, 252, 2016 |
| 8 |
H-infinity state feedback control for MJLS with uncertain probabilities
Morais CF, Braga MF, Oliveira RCLF, Peres PLD
Automatica, 52, 317, 2015 |
| 9 |
Controllability of probabilistic Boolean control networks based on transition probability matrices
Liu Y, Chen HW, Lu JQ, Wu B
Automatica, 52, 340, 2015 |
| 10 |
First order multivariate Markov chain model for generating annual weather data for Hong Kong
Yang HX, Li YT, Lu L, Qi RH
Energy and Buildings, 43(9), 2371, 2011 |
