Linear quadratic optimal sampled data control of linear systems with unknown switched modes and stochastic disturbances

2015 ◽  
Vol 37 (5) ◽  
pp. 1085-1100 ◽  
Author(s):  
Feng Liu ◽  
Peng Li ◽  
ZhiBang Lei ◽  
Yongduan Song
Keyword(s):  
Linear Systems ◽  
Sampled Data ◽  
Stochastic Disturbances ◽  
Linear Quadratic ◽  
Data Control ◽  
Sampled Data Control ◽  
Control Of Linear Systems

Robust finite-time sampled-data control of linear systems subject to random occurring delays and its application to Four-Tank system

2016 ◽  
Vol 281 ◽  
pp. 55-76 ◽  
Author(s):  
Jun Cheng ◽  
Shiqiang Chen ◽  
Zhijun Liu ◽  
Hailing Wang ◽  
Jin Li
Keyword(s):  
Linear Systems ◽  
Finite Time ◽  
Sampled Data ◽  
Data Control ◽  
Sampled Data Control ◽  
Tank System ◽  
Control Of Linear Systems

Practical prescribed-time sampled-data control of linear systems with applications to the air-bearing testbed

2021 ◽  
pp. 1-1
Author(s):  
Kai Zhang ◽  
Bin Zhou ◽  
Huaiyuan Jiang ◽  
Guoping Liu ◽  
Guang-Ren Duan
Keyword(s):  
Linear Systems ◽  
Air Bearing ◽  
Sampled Data ◽  
Data Control ◽  
Sampled Data Control ◽  
Control Of Linear Systems

Synchronization for hybrid coupled reaction-diffusion neural networks with stochastic disturbances via spatial sampled-data control strategy

2020 ◽  
pp. 095965182093566
Author(s):  
Xiaona Song ◽  
Xingru Li ◽  
Zhaoke Ning ◽  
Mi Wang ◽  
Jingtao Man
Keyword(s):  
Neural Networks ◽  
Controller Design ◽  
Sufficient Conditions ◽  
Coupling Reaction ◽  
Reaction Diffusion ◽  
Sampled Data ◽  
Stochastic Disturbances ◽  
Digital Controllers ◽  
Data Control ◽  
Sampled Data Control

The synchronization of reaction-diffusion neural networks with state and spatial couplings is investigated in this article, and the time-varying delay and stochastic disturbances are considered in the proposed systems. Due to the development and merits of digital controllers, sampled-data control is a natural choice to establish synchronization in continuous-time systems. Here, we suggest a spatial sampled-data controller design, where the sampled-data (in space) measurements of the state are taken in a finite number of fixed sampling points in the spatial domain. It is assumed that the sampling intervals in space are bounded. Based on the Lyapunov stability theory, Young’s and Wirtinger’s inequalities techniques, some sufficient conditions are presented to synchronize the hybrid coupling reaction-diffusion neural networks with stochastic disturbances. Finally, the efficiency of the derived criteria will be demonstrated by resorting to two numerical examples.

A scalable method for the analysis of networked linear systems with decentralized sampled‐data control

2021 ◽  
Author(s):  
Deesh Dileep ◽  
Christophe Fiter ◽  
Laurentiu Hetel ◽  
Wim Michiels
Keyword(s):  
Linear Systems ◽  
Sampled Data ◽  
Data Control ◽  
Sampled Data Control

Bounds for the remainders of uncertain matrix exponential and sampled-data control of polytopic linear systems

Automatica ◽  
2017 ◽  
Vol 82 ◽  
pp. 202-208 ◽  
Author(s):  
Marc Jungers ◽  
Grace S. Deaecto ◽  
José C. Geromel
Keyword(s):  
Linear Systems ◽  
Matrix Exponential ◽  
Sampled Data ◽  
Data Control ◽  
Sampled Data Control

Optimal H∞ state feedback sampled-data control design for Markov jump linear systems

2017 ◽  
Vol 91 (7) ◽  
pp. 1609-1619 ◽  
Author(s):  
G. W. Gabriel ◽  
J. C. Geromel ◽  
K. M. Grigoriadis
Keyword(s):  
Linear Systems ◽  
State Feedback ◽  
Control Design ◽  
Sampled Data ◽  
Markov Jump ◽  
Jump Linear Systems ◽  
Data Control ◽  
Markov Jump Linear Systems ◽  
Sampled Data Control
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