Survey on stochastic iterative learning control
Iterative learning control (ILC) is suitable for systems that are able to repeatedly complete
several tasks over a fixed time interval. Since it was first proposed, ILC has been further …
several tasks over a fixed time interval. Since it was first proposed, ILC has been further …
[图书][B] Industrial process identification and control design: step-test and relay-experiment-based methods
Industrial Process Identification and Control Design is devoted to advanced identification
and control methods for the operation of continuous-time processes both with and without …
and control methods for the operation of continuous-time processes both with and without …
IMC-based iterative learning control for batch processes with uncertain time delay
Based on the internal model control (IMC) structure, an iterative learning control (ILC)
scheme is proposed for batch processes with model uncertainties including time delay …
scheme is proposed for batch processes with model uncertainties including time delay …
Robust two-dimensional iterative learning control for batch processes with state delay and time-varying uncertainties
Based on a two-dimensional (2D) system description of a batch process in industry, a robust
closed-loop iterative learning control (ILC) scheme is proposed for batch processes with …
closed-loop iterative learning control (ILC) scheme is proposed for batch processes with …
An iterative learning control design approach for networked control systems with data dropouts
B Xuhui, H Zhongsheng, J Shangtai… - International Journal of …, 2016 - Wiley Online Library
In network‐based iterative learning control (ILC) systems, data dropout often occurs during
data packet transfers from the remote plant to the ILC controller. This paper considers the …
data packet transfers from the remote plant to the ILC controller. This paper considers the …
[图书][B] Filtering and control for classes of two-dimensional systems
L Wu, Z Wang - 2015 - Springer
Two-dimensional (2-D) systems have received tremendous research attention since they
have extensive applications in image processing, seismographic data processing, thermal …
have extensive applications in image processing, seismographic data processing, thermal …
Iterative learning control for multi-agent systems with finite-leveled sigma-delta quantization and random packet losses
T Zhang, J Li - IEEE Transactions on Circuits and Systems I …, 2017 - ieeexplore.ieee.org
A quantized iterative learning control (QILC) for continuous-time multi-agent systems with
finite-leveled sigma-delta (ΣA) quantization and random packet losses is first proposed in …
finite-leveled sigma-delta (ΣA) quantization and random packet losses is first proposed in …
Dynamic R-parameter based integrated model predictive iterative learning control for batch processes
A novel integrated model predictive iterative learning control (MPILC) strategy with dynamic
R-parameter for batch processes is proposed in this paper. It systematically integrates batch …
R-parameter for batch processes is proposed in this paper. It systematically integrates batch …
Delay-range-dependent robust 2D iterative learning control for batch processes with state delay and uncertainties
This paper proposes the design of the integrated output feedback and iterative learning
control (ILC) for batch processes with uncertain perturbations and interval time-varying …
control (ILC) for batch processes with uncertain perturbations and interval time-varying …
[图书][B] Iterative learning control algorithms and experimental benchmarking
Iterative Learning CONTROL ALGORITHMS AND EXPERIMENTAL BENCHMARKING
Iterative Learning Control Algorithms and Experimental Benchmarking Presents key cutting …
Iterative Learning Control Algorithms and Experimental Benchmarking Presents key cutting …