Zero-error tracking control under unified quantized iterative learning framework via encoding–decoding method
D Shen, C Zhang - IEEE Transactions on Cybernetics, 2020 - ieeexplore.ieee.org
This article considers the zero-error tracking problem of quantized iterative learning control
for a general networked structure where the data are quantized and transmitted through …
for a general networked structure where the data are quantized and transmitted through …
Quantized iterative learning control of communication-constrained systems with encoding and decoding mechanism
Y Tao, H Tao, Z Zhuang… - Transactions of the …, 2024 - journals.sagepub.com
In practical applications, due to the limited communication bandwidth, the network control
systems (NCSs) are prone to data dropouts when the load is high. In this paper, the problem …
systems (NCSs) are prone to data dropouts when the load is high. In this paper, the problem …
Encoding–decoding mechanism-based finite-level quantized iterative learning control with random data dropouts
N Huo, D Shen - IEEE Transactions on Automation Science …, 2019 - ieeexplore.ieee.org
Learning control is investigated to solve the tracking problem for linear systems via
unreliable networks with random data dropouts. By using an encoding-decoding mechanism …
unreliable networks with random data dropouts. By using an encoding-decoding mechanism …
Zero‐error convergence of iterative learning control based on uniform quantisation with encoding and decoding mechanism
C Zhang, D Shen - IET Control Theory & Applications, 2018 - Wiley Online Library
In this study, the zero‐error convergence of the iterative learning control for a tracking
problem is realised by incorporating a uniform quantiser with an encoding and decoding …
problem is realised by incorporating a uniform quantiser with an encoding and decoding …
Iterative learning control for discrete‐time systems with quantised measurements
B Xuhui, W Taihua, H Zhongsheng… - IET Control Theory & …, 2015 - Wiley Online Library
In this study, the problem of iterative learning control (ILC) for discrete‐time systems with
quantised output measurements is considered. Here, a logarithmic quantiser is introduced …
quantised output measurements is considered. Here, a logarithmic quantiser is introduced …
Data‐driven iterative learning control using a uniform quantizer with an encoding–decoding mechanism
This work explores the problem of uniform quantization of iterative learning control (ILC) for
nonlinear nonaffine systems under a data‐driven design and analysis framework. First, to …
nonlinear nonaffine systems under a data‐driven design and analysis framework. First, to …
A probabilistically quantized learning control framework for networked linear systems
In this article, we consider quantized learning control for linear networked systems with
additive channel noise. Our objective is to achieve high tracking performance while reducing …
additive channel noise. Our objective is to achieve high tracking performance while reducing …
Quantized data driven iterative learning control for a class of nonlinear systems with sensor saturation
This paper considers the problem of data driven iterative learning control (DDILC) for a class
of nonaffine nonlinear systems subject to data quantization and sensor saturation. Two …
of nonaffine nonlinear systems subject to data quantization and sensor saturation. Two …
Stability analysis of quantized iterative learning control systems using lifting representation
This paper presents a stability analysis of the iterative learning control for discrete‐time
systems with data quantization. Three quantized iterative learning control schemes are …
systems with data quantization. Three quantized iterative learning control schemes are …
Iterative learning control for discrete-time stochastic systems with quantized information
D Shen, Y Xu - IEEE/CAA Journal of Automatica Sinica, 2016 - ieeexplore.ieee.org
An iterative learning control (ILC) algorithm using quantized error information is given in this
paper for both linear and nonlinear discrete-time systems with stochastic noises. A …
paper for both linear and nonlinear discrete-time systems with stochastic noises. A …