Networked Predictive Control of Uncertain Systems With Multiple Feedback Channels

Song, H; Liu, Shuai; Yu, Li

doi:10.1109/tie.2012.2225398

Cited by 41 publications

(5 citation statements)

References 35 publications

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“…Some pioneering works have been reported for multi‐packet NCSs. To name a few, an observer‐based networked predictive control approach was proposed for discrete‐time NCSs with multi‐packet transmission in [29] to compensate for multiple delays and packet dropouts; by modelling the packet loss process as a Markov chain the stochastic stability conditions were given in [30]; by modelling the packet loss process as an independent and identical Bernoulli process, the state feedback controller was designed in [31]; continuous‐time NCS with lossy multi‐packet transmissions was considered in [32], and so forth. These studies have explicitly considered the unique feature of multi‐packet transmission, but most of them have more focused on the controller side while ignoring the possibility of improving the system performance by actively compensating the missing partial data, which thus motivates the present work.…”

Section: Introductionmentioning

confidence: 99%

Stochastic stabilisation of wireless networked control systems with lossy multi‐packet transmission

Zhao

Tao

Kang

et al. 2019

IET Control Theory & Applications

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The stochastic stabilisation of networked control systems is investigated with a special focus on the lossy multi-packet transmission in the wireless communication context. The resulting partially available system states due to multi-packet transmission are firstly reconstructed at the controller, and the sufficient conditions for stochastic stability are then given for the closed-loop system, which finally leads to a controller design method with explicit consideration of multi-packet transmission. The proposed theoretical results are verified by both numerical and TrueTime-based examples.

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Section: Introductionmentioning

confidence: 99%

Stochastic stabilisation of wireless networked control systems with lossy multi‐packet transmission

Zhao

Tao

Kang

et al. 2019

IET Control Theory & Applications

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“…In a useful NCS, there exists time delay and information packets loss. The networked predictive controller considered to predict the states of the system [13].This type of controller generates the set of control predictions to achieve desired control response. State space model for plant in discrete time (1) (2) In equation (1) and (2) x (k), u (k) and y(k) represent states, controlled system inputs and controlled outputs and A, B, C system matrix.…”

Section: Networked Predictive Controller Designmentioning

confidence: 99%

Predictive Controller Design for Networked Control System

2019

IJITEE

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Abstract: A networked control system where sensor ( ), controller ( ) and an actuator ( ) are interacting to the process model or system through a communication channel. The model reliability depends on time delay of data transmission from to , to , controller processing time and packet dropouts. In this proposed work, model based network system is designed to achieve the desired response of the controlled system by minimizing the network time delay and improves con-troller performance in term of stability. Time delay mainly occurs due to time sharing of the medium as well extra overload of signal coding and processing phase. The time delays could be steady, limited, or even random, depends upon protocol used in the network and hardware. The network predictive control tech-nique effectively works on random delay. The predictive controller is used to analyses the future output conditions of the system based on the previous values. The simulated result shows that if time delay increases, the response of the system degraded and therefore for improving it the correct choice of prediction and control horizon is needed. The designed networked control system based on predictive functional control is simulated using True Time tool on Matlab. The ob-tained outcomes from the proposed technique accomplishes that the technique is effective and feasible.

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“…en, the stability and stabilization problems can be solved based on the robust control approach. e third approach is to introduce a new working mode of the actuator, by which the delay can take finite values only, and ultimately the NCS is modelled as a discrete-time switched system with a finite number of subsystems [16,17]. e main difference between them is that different approaches result in a different system model.…”

Section: Introductionmentioning

confidence: 99%

Modelling and Prediction of Random Delays in NCSs Using Double-Chain HMMs

Zhang

Gao

et al. 2020

Discrete Dynamics in Nature and Society

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This paper is concerned with the modelling and prediction of random delays in networked control systems. The stochastic distribution of the random delay in the current sampling period is assumed to be affected by the network state in the current sampling period as well as the random delay in the previous sampling period. Based on this assumption, the double-chain hidden Markov model (DCHMM) is proposed in this paper to model the delays. There are two Markov chains in this model. One is the hidden Markov chain which consists of the network states and the other is the observable Markov chain which consists of the delays. Moreover, the delays are also affected by the hidden network states, which constructs the DCHMM-based delay model. The initialization and optimization problems of the model parameters are solved by using the segmental K-mean clustering algorithm and the expectation maximization algorithm, respectively. Based on the model, the prediction of the controller-to-actuator (CA) delay in the current sampling period is obtained. The prediction can be used to design a controller to compensate the CA delay in the future research. Some comparative experiments are carried out to demonstrate the effectiveness and superiority of the proposed method.

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Networked Predictive Control of Uncertain Systems With Multiple Feedback Channels

Cited by 41 publications

References 35 publications

Stochastic stabilisation of wireless networked control systems with lossy multi‐packet transmission

Stochastic stabilisation of wireless networked control systems with lossy multi‐packet transmission

Predictive Controller Design for Networked Control System

Modelling and Prediction of Random Delays in NCSs Using Double-Chain HMMs

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