1 |
Semi-Markov Jump Linear Systems With Incomplete Sojourn and Transition Information: Analysis and Synthesis Ning ZP, Zhang LX, Colaneri P IEEE Transactions on Automatic Control, 65(1), 159, 2020 |
2 |
Disturbance attenuation and rejection for stochastic Markovian jump system with partially known transition probabilities Sun HB, Li YK, Zong GD, Hou LL Automatica, 89, 349, 2018 |
3 |
A hybrid scenario-based decommissioning forecast for the shallow water US Gulf of Mexico, 2018-2038 Kaiser MJ, Narra S Energy, 163, 1150, 2018 |
4 |
Observer-based adaptive sliding mode control for nonlinear Markovian jump systems Li HY, Shi P, Yao DY, Wu LG Automatica, 64, 133, 2016 |
5 |
A survey informed PV-based cost-effective electrification options for rural sub-Saharan Africa Opiyo N Energy Policy, 91, 1, 2016 |
6 |
Stability and Disturbance Attenuation for Markov Jump Linear Systems with Time-Varying Transition Probabilities Lutz CC, Stilwell DJ IEEE Transactions on Automatic Control, 61(5), 1413, 2016 |
7 |
Operating Condition Diagnosis Based on HMM with Adaptive Transition Probabilities in Presence of Missing Observations Sammaknejad N, Huang B, Xiong WL, Fatehi A, Xu FW, Espejo A AIChE Journal, 61(2), 477, 2015 |
8 |
Theoretical Study of Optimal Positioning of Segregating Component Input into Continuous Mixer of Solids Mizonov V, Berthiaux H, Gatumel C Particulate Science and Technology, 33(4), 339, 2015 |
9 |
Modeling of Particle Concentration Distribution in a Fluidized Bed by Means of the Theory of Markov Chains Mizonov V, Mitrofanov A, Ogurtzov A, Tannous K Particulate Science and Technology, 32(2), 171, 2014 |
10 |
Bounded Real Lemma for Nonhomogeneous Markovian Jump Linear Systems Aberkane S IEEE Transactions on Automatic Control, 58(3), 797, 2013 |