Control for networked control systems with multiplicative noises, packet dropouts and multiple delays

DOI10.1080/00207721.2021.1929556zbMath1483.93235OpenAlexW3179297417MaRDI QIDQ5029101

Haixia Wang, Guilin Zhang, Na Wang, Xiao Lu, Xiao Liang, Ruidong Liu, Qiyan Zhang, Chuanzhi Lv

Publication date: 11 February 2022

Published in: International Journal of Systems Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207721.2021.1929556

zbMATH Keywords

optimal controlpacket dropoutsnetworked control systems (NCSs)multiplicative noisesinput and measurement delays

Mathematics Subject Classification ID

Feedback control (93B52) Optimal stochastic control (93E20) Delay control/observation systems (93C43) Networked control (93B70)

Related Items (1)

Data-driven optimal tracking control of discrete-time linear systems with multiple delays via the value iteration algorithm

Cites Work

• Control for networked control systems with remote and local controllers over unreliable communication channel
• Optimal output feedback control and stabilization for NCSs with packet dropout and delay: TCP case
• Moving horizon estimation with non-uniform sampling under component-based dynamic event-triggered transmission
• Further results on stabilization for NCSs with packet losses and transmission delay: UDP case
• Solvability and asymptotic behavior of generalized Riccati equations arising in indefinite stochastic LQ controls
• Design of Symbolic Controllers for Networked Control Systems
• Optimal Control and Stabilization for Networked Control Systems With Asymmetric Information
• On LMI conditions to design robust static output feedback controller for continuous-time linear systems subject to norm-bounded uncertainties
• Novel stability criteria for aperiodic sampled-data systems via a time-squared-dependent augmented functional
• Adaptive output-feedback control for a class of stochastic nonlinear systems with unknown control directions and hysteresis input
• Moving Horizon Estimation With Unknown Inputs Under Dynamic Quantization Effects

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