| 1 |
Neural-network-based output-feedback control with stochastic communication protocols
Ding DR, Wang ZD, Han QL
Automatica, 106, 221, 2019 |
| 2 |
In silico optimization of a bioreactor with an E. coli culture for tryptophan production by using a structured model coupling the oscillating glycolysis and tryptophan synthesis
Maria G, Mihalachi M, Gijiu CL
Chemical Engineering Research & Design, 135, 207, 2018 |
| 3 |
Recasting of the WEF Nexus as an actor with a new economic platform and management model
Zisopoulou K, Karalis S, Koulouri ME, Pouliasis G, Korres E, Karousis A, Triantafilopoulou E, Panagoulia D
Energy Policy, 119, 123, 2018 |
| 4 |
An approximate dynamic programming method for the optimal control of Alkai-Surfactant-Polymer flooding
Ge YL, Li SR, Chan P
Journal of Process Control, 64, 15, 2018 |
| 5 |
A novel conceptual model facilitating the derivation of agent-based models for analyzing socio-technical optimality gaps in the energy domain
Hinker J, Hemkendreis C, Drewing E, Marz S, Rodriguez DIH, Myrzik JMA
Energy, 137, 1219, 2017 |
| 6 |
An Actor-Critic Algorithm With Second-Order Actor and Critic
Wang J, Paschalidis IC
IEEE Transactions on Automatic Control, 62(6), 2689, 2017 |
| 7 |
The role of actor-networks in the early stage mobilisation of low carbon heat networks
Ambrose A, Eadson W, Pinder J
Energy Policy, 96, 144, 2016 |
| 8 |
Fault detection for linear distributed-parameter systems using finite-dimensional functional observers
Deutscher J
International Journal of Control, 89(3), 550, 2016 |
| 9 |
Losing the roadmap: Renewable energy paralysis in Spain and its implications for the EU low carbon economy
Alonso PM, Hewitt R, Pacheco JD, Bermejo LR, Jimenez VH, Guillen JV, Bressers H, de Boer C
Renewable Energy, 89, 680, 2016 |
| 10 |
Approximate optimal trajectory tracking for continuous-time nonlinear systems
Kamalapurkar R, Dinh H, Bhasin S, Dixon WE
Automatica, 51, 40, 2015 |
