Iterative learning model predictive control based on iterative data-driven modeling
L Ma, X Liu, X Kong, KY Lee - IEEE transactions on neural …, 2020 - ieeexplore.ieee.org
Iterative learning model predictive control (ILMPC) has been recognized as an effective
approach to realize high-precision tracking for batch processes with repetitive nature …
approach to realize high-precision tracking for batch processes with repetitive nature …
Two-dimensional reinforcement learning model-free fault-tolerant control for batch processes against multi-faults
Aiming at the characteristics of batch process changing along with time and batch directions,
the existence of unmodeled dynamics, and the partial failure of actuators or/and sensors, we …
the existence of unmodeled dynamics, and the partial failure of actuators or/and sensors, we …
Iterative learning hybrid robust predictive fault-tolerant control for nonlinear batch processes with partial actuator faults
H Li, S Wang, H Shi, C Su, P Li - Journal of Process Control, 2023 - Elsevier
For nonlinear batch processes with uncertainties, disturbances and partial actuator faults, an
iterative learning robust predictive fault-tolerant control approach is developed. Based on …
iterative learning robust predictive fault-tolerant control approach is developed. Based on …
A 2D-FM model-based robust iterative learning model predictive control for batch processes
The work deals with composite iterative learning model predictive control (CILMPC) for
uncertain batch processes via a two dimensional Fornasini–Marchesini (2D-FM) model. A …
uncertain batch processes via a two dimensional Fornasini–Marchesini (2D-FM) model. A …
Terminal constrained robust hybrid iterative learning model predictive control for complex time-delayed batch processes
This work mainly addresses terminal constrained robust hybrid iterative learning model
predictive control against time delay and uncertainties in a class of complex batch processes …
predictive control against time delay and uncertainties in a class of complex batch processes …
Constrained model predictive fault-tolerant control for multi-time-delayed batch processes with disturbances: A Lyapunov-Razumikhin function method
This paper mainly studies the design of iterative learning constrained model predictive fault–
tolerant control for batch processes accompanied by multi–delays, interference and actuator …
tolerant control for batch processes accompanied by multi–delays, interference and actuator …
Robust model predictive iterative learning control for iteration-varying-reference batch processes
X Liu, L Ma, X Kong, KY Lee - IEEE Transactions on Systems …, 2019 - ieeexplore.ieee.org
Model predictive iterative learning control (MPILC) is a popular approach to control batch
systems with repetitive nature, as it is capable of tracking the plant reference trajectory with …
systems with repetitive nature, as it is capable of tracking the plant reference trajectory with …
A two-stage robust iterative learning model predictive control for batch processes
C Zhou, L Jia, Y Zhou - ISA transactions, 2023 - Elsevier
Iterative learning model predictive control (ILMPC) has been considered as potential control
strategy for batch processes. ILMPC can converge to the desired reference trajectory with …
strategy for batch processes. ILMPC can converge to the desired reference trajectory with …
Delay-range-dependent-based hybrid iterative learning fault-tolerant guaranteed cost control for multiphase batch processes
Concerning multiphase batch processes with delays, disturbances, and actuator faults, the
design of 2D robust hybrid composite iterative learning fault-tolerant guaranteed cost …
design of 2D robust hybrid composite iterative learning fault-tolerant guaranteed cost …
Batch-to-Batch Adaptive Iterative Learning Control─ Explicit Model Predictive Control Two-Tier Framework for the Control of Batch Transesterification Process
To harness energy security and reduce carbon emissions, humankind is trying to switch
toward renewable energy resources. To this extent, fatty acid methyl esters, also known as …
toward renewable energy resources. To this extent, fatty acid methyl esters, also known as …