Robust delay dependent iterative learning fault-tolerant control for batch processes with state delay and actuator failures

Improved infinite horizon LQ tracking control for injection molding process against partial actuator failures

“…(2) is widely adopted to describe actuator fault systems [2,13,15,[28][29][30]. It is obvious that 0   corresponds to the partial actuator failure and 0   is the outage case, hence 0   is considered in this article.…”

“…In [14], unified robust detection, isolation and compensation for actuator faults are proposed. Wang, et al [15,16] shows that by assuming that the process delay is within a pre-described range, the FTC for such processes can be designed through robust iterative learning control (ILC) or guaranteed cost performance control using linear matrix inequality (LMI).…”

Output Information Based Fault-Tolerant Iterative Learning Control for Dual-Rate Sampling Process with Disturbances and Output Delay

“…For example, a robust 2D closedloop ILC combined with the output feedback scheme has been applied to batch processes with state delay and timevarying uncertainties [27,28]. Composite iterative learning feedback controllers combined with state and output information are designed in [29]; then the sufficient conditions for delay dependent stability are obtained. However, these proposed methods are just based on the single-rate sampling process model, so that they cannot be directly applied to dualrate sampling processes.…”

Parameter‐dependent Lyapunov function‐based robust iterative learning control for discrete systems with actuator faults

“…Fault-tolerant control is a critical issue for ILC and there has been some research reported, such as [22,23,24]. This paper gives new results on fault tolerance for ILC design using repetitive process stability theory where a parameter dependent Lyapunov function was used in an attempt to admit a larger uncertainty range than its constant counterpart.…”