| 1 |
Machine learning-based predictive control of nonlinear processes. Part I: Theory
Wu Z, Anh R, Rincon D, Christofides PD
AIChE Journal, 65(11), 2019 |
| 2 |
Machine-learning-based predictive control of nonlinear processes. Part II: Computational implementation
Wu Z, Tran A, Rincon D, Christofides PD
AIChE Journal, 65(11), 2019 |
| 3 |
Filtered high gain observer for a class of uncertain nonlinear systems with sampled outputs
Treangle C, Farza M, M'Saad M
Automatica, 101, 197, 2019 |
| 4 |
Fault detection filtering for nonlinear switched systems via event-triggered communication approach
Liu XX, Su XJ, Shi P, Nguang SK, Shen C
Automatica, 101, 365, 2019 |
| 5 |
Sampled boundary observer for strict-feedback nonlinear ODE systems with parabolic PDE sensor
Ahmed-Ali T, Giri F, Karafyllis I, Krstic M
Automatica, 101, 439, 2019 |
| 6 |
On-line detection of qualitative dynamical changes in nonlinear systems: The resting-oscillation case
Tang Y, Franci A, Postoyan R
Automatica, 100, 17, 2019 |
| 7 |
A quadratic Lyapunov function for Saint-Venant equations with arbitrary friction and space-varying slope
Hayat A, Shang PP
Automatica, 100, 52, 2019 |
| 8 |
Bio-inspired evolutionary dynamics on complex networks under uncertain cross-inhibitory signals
Stella L, Bauso D
Automatica, 100, 61, 2019 |
| 9 |
Adaptive finite-time tracking control of full state constrained nonlinear systems with dead-zone
Li HY, Zhao SY, He W, Lu RQ
Automatica, 100, 99, 2019 |
| 10 |
Finite-horizon filtering for a class of nonlinear time-delayed systems with an energy harvesting sensor
Shen B, Wang ZD, Wang D, Luo J, Pu HY, Peng Y
Automatica, 100, 144, 2019 |
