control for networked stochastic non‐linear systems with randomly occurring sensor saturations, multiple delays and packet dropouts

Li, Xiuying; Sun, Shuli

doi:10.1049/iet-cta.2017.0199

Cited by 15 publications

(4 citation statements)

References 46 publications

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“…This section presents an aircraft system model [39] to demonstrate the effectiveness of the designed DOF controller. We consider a longitudinal dynamic model of an aircraft with a speed of Mach 0.3 and a flight altitude of 5000 m above sea level.…”

Section: Examples 41 a Practical Examplementioning

confidence: 99%

Dynamic Output Feedback Quantization Control of a Networked Control System with Dual-Channel Data Packet Loss

2023

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In this paper, the design of a dynamic output feedback controller for a networked control system with dual-channel data packet loss and special discrete-time delay is studied, in which the data packet loss is described by the Markov process. In order to effectively alleviate the problem of network congestion, a quantizer was added to the sensor-to-controller channel. The transition probabilities of the Markov process are uncertain, but they exist in the convex sets of known convex polyhedron types. The mode-dependent Lyapunov function was constructed, and a sufficient condition was given to make the closed-loop system stochastically stable and satisfy the performance index. The parameters of the controller were solved by the linear matrix inequality method. Finally, an example of aircraft shows the validity of the proposed approach. A numerical example is compared with other literature, showing the superiority of the proposed approach.

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Section: Examples 41 a Practical Examplementioning

confidence: 99%

Dynamic Output Feedback Quantization Control of a Networked Control System with Dual-Channel Data Packet Loss

2023

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“…In other views, there inevitably exist random phenomena such as packet dropouts, time delays during the data transmission. There are two main types for data dropouts [23]: missing measurements [24,25] and communication link failures [26,27]. Missing measurements refer to the loss of data packets during transmission from the target plant to the sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

Distributed H_∞Filtering Over Sensor Networks Subject to Randomly Occurred Nonlinearity and Time-Varying Topology

Zhang

2020

IEEE Access

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This paper is concerned with the distributed H  filtering problems with consensus for a class of systems subject to randomly occurred nonlinearity and time-varying topology in sensor networks where the nonlinearity considered can include the cyber attacks as a special case. A group of Bernoulli distributed random variables are utilized to describe the varying topology and missing measurements in a unified framework. In terms of two-dimensional (2-D) system theory in Rosser model, a nonlinear two-step filter is designed with consensus protocol where a multiple data strategy is used to improve the system performance. The desired filter parameters are obtained by LMI technique such that the filtering error system is asymptotically stable in the sense of mean square and meets a prescribed average H  performance level. Finally, a simulation example demonstrates the effectiveness of the proposed algorithm. INDEX TERMS Sensor networks, distributed H  filtering, time-varying topology, randomly occurred nonlinearity.

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“…Time delay and packet dropout serve as two of the most common and crucial problems of NCSs that can directly degrade the performance of the closed-loop system or even lead to instability [6]. More specifically, long time delay refers to the time delay larger than the sampling period which, compared with short time delay or "one step" time delay, can cause more serious problems like packet disordering.…”

Section: Introductionmentioning

confidence: 99%

“…Firstly, since time delay and packet dropout usually exist simultaneously in the real network, it is important to establish a model to handle them in a common framework. Various modeling methods have been proposed including time delay system model [11], switched system model [12][13][14], asynchronous dynamical system model [15,16], and stochastic system model [6,8,9,[17][18][19][20][21][22][23][24][25]. Among them, stochastic system model becomes popular in recent years and one of the most 2 Complexity used ways is to adopt a Markov discrete-time linear system to describe random time delay or packet dropouts [9, 20-22, 24, 25].…”

Section: Introductionmentioning

confidence: 99%

Chattering‐Free Sliding Mode Control for Networked Control System with Time Delay and Packet Dropout Based on a New Compensation Strategy

et al. 2019

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This paper addresses the sliding mode control problem for a class of networked control systems with long time delay and consecutive packet dropout. A new modeling method is proposed, through which time delay and packet dropout are modeled in a unified model described by one Markov chain. To avoid the chattering problem of classic reaching law, a new chattering-free reaching law is proposed. Then with a focus on the problem that controller-actuator channel network condition cannot be foreseen by the controller, a new compensation strategy is proposed, which can effectively compensate for the effect of time delay and packet dropout in controller-actuator channel. Finally, a simulation example is presented to demonstrate the effectiveness of the proposed approach.

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control for networked stochastic non‐linear systems with randomly occurring sensor saturations, multiple delays and packet dropouts

Cited by 15 publications

References 46 publications

Dynamic Output Feedback Quantization Control of a Networked Control System with Dual-Channel Data Packet Loss

Dynamic Output Feedback Quantization Control of a Networked Control System with Dual-Channel Data Packet Loss

Distributed H_∞Filtering Over Sensor Networks Subject to Randomly Occurred Nonlinearity and Time-Varying Topology

Chattering‐Free Sliding Mode Control for Networked Control System with Time Delay and Packet Dropout Based on a New Compensation Strategy

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control for networked stochastic non‐linear systems with randomly occurring sensor saturations, multiple delays and packet dropouts

Cited by 15 publications

References 46 publications

Dynamic Output Feedback Quantization Control of a Networked Control System with Dual-Channel Data Packet Loss

Dynamic Output Feedback Quantization Control of a Networked Control System with Dual-Channel Data Packet Loss

Distributed H∞Filtering Over Sensor Networks Subject to Randomly Occurred Nonlinearity and Time-Varying Topology

Chattering‐Free Sliding Mode Control for Networked Control System with Time Delay and Packet Dropout Based on a New Compensation Strategy

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Distributed H_∞Filtering Over Sensor Networks Subject to Randomly Occurred Nonlinearity and Time-Varying Topology