Event-based dynamic output-feedback controller design for networked control systems with sensor and actuator saturations

Li, Liuwen; Zou, Wenlin; Fei, Shumin

doi:10.1016/j.jfranklin.2017.02.021

Cited by 46 publications

(17 citation statements)

References 31 publications

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“…Without loss of generality, let

\overset{d}{true} = m_{1} h

and

\overset{τ}{true} = m_{2} h

, where m 1 and m 2 are two positive real numbers. As in the works of Yue et al and Li et al, the following event‐triggered condition:

{([], y false(t_{k} h + j h false) - y false(t_{k} h false))}^{T} normalΩ ([], y false(t_{k} h + j h false) - y false(t_{k} h false)) \leq σ y {false(t_{k} h + j h false)}^{T} normalΩ y false(t_{k} h + j h false),

is introduced to determine whether the current signal is transmitted to the side of the dynamical output feedback controller or not, where Ω is a symmetric positive matrix, j = 1,2,⋯ and σ ∈ [0,1).…”

Section: Preliminaries and Problem Descriptionmentioning

confidence: 99%

“…The design problem of the event‐triggered output feedback control was investigated as an LMI feasibility problem. An event‐triggered output feedback controller was presented for NCS with sensor and actuator saturations . It should be noted that the works of Yue et al and Hu et al only investigated the problem of event‐triggered control via state feedback.…”

Section: Event‐triggered Output Feedback H∞ Controlmentioning

confidence: 99%

“…In comparison to the time‐triggered scheme, the load of the network can be greatly reduced and significant computational resources can be saved. In addition, the stability of the closed‐loop system can be guaranteed . For instance, in the work of Donkers and Heemels, the authors proposed a decentralized event‐triggering mechanism.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, the stability of the closed-loop system can be guaranteed. 12,15,[21][22][23][24][25][26][27] For instance, in the work of Donkers and Heemels, 19 the authors proposed a decentralized event-triggering mechanism. Then, they investigated event-triggered dynamical output-based controllers based on an impulsive model.…”

Section: Introductionmentioning

confidence: 99%

“…In the work of Yue et al, the authors proposed an event‐triggered scheme and studied a state feedback H ∞ controller for NCSs with network‐induced delay. In the work of Li et al, an event‐based NCS model with an actuator and sensor saturation was presented. Then, an event‐triggered output feedback H ∞ controller was designed for NCSs.…”

Section: Introductionmentioning

confidence: 99%

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Event‐triggered output feedback H_∞ control for networked control systems

Shen

Zhang

et al. 2018

Intl J Robust & Nonlinear

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Summary This paper investigates event‐triggered output feedback H∞ control for a networked control system. Transmitted through a network under an event‐triggered scheme, the sample outputs of the plant are used to drive the dynamical output feedback controller to generate a new control signal in the discrete‐time domain. The discrete‐time control signals are also transmitted through the network to drive the plant. As a result of two types of transmission delays, the controlled plant and the dynamical output feedback controller are driven by the discrete‐time outputs and control signals at different instants of time. An interval decomposition method is introduced to place the controlled plant and the output feedback controller into the same updated time interval but with updated signals at different instants. Based on a proper Lyapunov‐Krasovskii functional, sufficient conditions are derived to ensure H∞ performance for the controlled plant. Finally, numerical simulations are used to demonstrate the practical utility of the proposed method.

show abstract

“…Without loss of generality, let

\overset{d}{true} = m_{1} h

and

\overset{τ}{true} = m_{2} h

, where m 1 and m 2 are two positive real numbers. As in the works of Yue et al and Li et al, the following event‐triggered condition:

{([], y false(t_{k} h + j h false) - y false(t_{k} h false))}^{T} normalΩ ([], y false(t_{k} h + j h false) - y false(t_{k} h false)) \leq σ y {false(t_{k} h + j h false)}^{T} normalΩ y false(t_{k} h + j h false),

Section: Preliminaries and Problem Descriptionmentioning

confidence: 99%

Section: Event‐triggered Output Feedback H∞ Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Event‐triggered output feedback H_∞ control for networked control systems

Shen

Zhang

et al. 2018

Intl J Robust & Nonlinear

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Mixed H_∞ and passive event‐triggered control for Markovian jump systems with sensor saturation under cyber‐attacks

Wang

Chen

2022

Asian Journal of Control

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This paper addresses the mixed H ∞ and passive event-triggered control problem for a class of Markovian jump systems subject to sensor saturation and cyber-attacks. By taking the effects of sensor saturation and randomly occurring cyber-attacks into consideration, a closed-loop output feedback Markovian jump system model is established under the proposed event-triggered mechanism.Then, based on Lyapunov stability theory and integral inequalities technique, some sufficient conditions are obtained to guarantee the resulting closed-loop system is stochastically stable and satisfies a prescribed mixed H ∞ and passive performance. Subsequently, the output feedback gains can be derived in terms of linear matrix inequalities by using the matrix decoupling approach. Finally, numerical example and comparison results are provided to show the effectiveness of the approach proposed in this paper.

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H-infinity stability analysis and output feedback control for fuzzy stochastic networked control systems with time-varying communication delays and multipath packet dropouts

Zhang

Zheng

Xie

et al. 2020

Neural Comput & Applic

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Event-based dynamic output-feedback controller design for networked control systems with sensor and actuator saturations

Cited by 46 publications

References 31 publications

Event‐triggered output feedback H_∞ control for networked control systems

Event‐triggered output feedback H_∞ control for networked control systems

Mixed H_∞ and passive event‐triggered control for Markovian jump systems with sensor saturation under cyber‐attacks

H-infinity stability analysis and output feedback control for fuzzy stochastic networked control systems with time-varying communication delays and multipath packet dropouts

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Event-based dynamic output-feedback controller design for networked control systems with sensor and actuator saturations

Cited by 46 publications

References 31 publications

Event‐triggered output feedback H∞ control for networked control systems

Event‐triggered output feedback H∞ control for networked control systems

Mixed H∞ and passive event‐triggered control for Markovian jump systems with sensor saturation under cyber‐attacks

H-infinity stability analysis and output feedback control for fuzzy stochastic networked control systems with time-varying communication delays and multipath packet dropouts

Contact Info

Product

Resources

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Event‐triggered output feedback H_∞ control for networked control systems

Event‐triggered output feedback H_∞ control for networked control systems

Mixed H_∞ and passive event‐triggered control for Markovian jump systems with sensor saturation under cyber‐attacks