For nonlinear batch processes with uncertainties, disturbances and partial actuator faults, an
iterative learning robust predictive fault-tolerant control approach is developed. Based on …

In this paper, the iterative learning fault-tolerant control problem for multiphase batch
processes with uncertainty and actuator faults is studied. First, making full use of the …

Based on a two-dimensional (2D) Fornasini–Marchsini system description of a batch
process in industry, a robust state feedback integrated with an iterative learning reliable …

This paper presents a state space model predictive fault-tolerant control scheme for batch
processes with unknown disturbances and partial actuator faults. To develop the model …

Based on an equivalent two-dimensional Fornasini-Marchsini model for a batch process in
industry, a closed-loop robust iterative learning fault-tolerant guaranteed cost control …

Concerning multiphase batch processes with delays, disturbances, and actuator faults, the
design of 2D robust hybrid composite iterative learning fault-tolerant guaranteed cost …

An iterative learning reliable control (ILRC) scheme is developed in this paper for batch
processes with unknown disturbances and sensor faults. The batch process is transformed …

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 …

For nonlinear batch processes with actuator faults and external disturbances, a fault-tolerant
guaranteed cost controller is proposed based on fuzzy iterative learning control. The linear …

The injection molding process is a typical multi-phase batch process. As the filling and
packing-holding phases share the same actuator, faults occurring in the actuators may …