Design and analysis of networked non‐linear predictive control systems
GP Liu - IET Control Theory & Applications, 2015 - Wiley Online Library
This study is concerned with the control problem of networked non‐linear systems with
communication delay and data dropout. A networked non‐linear predictive control scheme …
communication delay and data dropout. A networked non‐linear predictive control scheme …
Design, analysis and real-time implementation of networked predictive control systems
This paper is concerned with the design, analysis and real-time implementation of
networked control systems using the predictive control strategy. The analysis of the …
networked control systems using the predictive control strategy. The analysis of the …
Nyquist plots for MIMO systems under frequency transformations
In this Letter, the Nyquist plot for linear, continuous-time MIMO systems under odd frequency
transformations is dealt with. Given a system G (s), a frequency transformation of the type s← …
transformations is dealt with. Given a system G (s), a frequency transformation of the type s← …
网络化预测控制系统的设计, 分析与实时实现
刘国平, 孙健, 赵云波 - 自动化学报, 2013 - aas.net.cn
采用预测控制策略, 讨论网络化控制系统的设计, 分析与实时实现. 对网络化控制系统的特点进行
详细分析, 表明网络化控制系统与传统的控制系统有很大的不同. 为了达到期望的闭环网络化 …
详细分析, 表明网络化控制系统与传统的控制系统有很大的不同. 为了达到期望的闭环网络化 …
Nyquist Plots Under Frequency Transformations: The Discrete-Time Case
Recently, the shape of the Nyquist plot has been proved invariant under frequency
transformation in continuous-time linear systems. This letter deals with the discrete-time …
transformation in continuous-time linear systems. This letter deals with the discrete-time …
Packet-based communication and control co-design for networked control systems
A packet-based communication and control co-design framework is proposed for Networked
Control Systems (NCSs). This framework takes advantage of the characteristic of the packet …
Control Systems (NCSs). This framework takes advantage of the characteristic of the packet …
Networked estimation using sparsifying basis prediction
We present a framework for networked state estimation, where systems encode their
(possibly high dimensional) state vectors using a mutually agreed basis between the system …
(possibly high dimensional) state vectors using a mutually agreed basis between the system …