Output-feedback control design for NCSs subject to quantization and dropout

Niu, Yugang; Jia, Tinggang; Wang, Xingyu; Yang, Fang

doi:10.1016/j.ins.2009.07.006

Cited by 162 publications

(66 citation statements)

References 19 publications

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“…A great deal of attention has been paid to networked control systems (NCSs) in recent years [13][14][15][16][17], because they are able to be combined with different kinds of practical systems widely [18][19][20]. It should be noticed that, in modern industrial systems, the high frequency sampling situation always exists.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Sliding Mode Control for High-Frequency Sampled-Data Systems with Actuator Faults

Zhao¹,

Liu²,

Liu³

et al. 2018

Designs

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This paper investigates the sliding mode control for high-frequency sampled-data systems with actuator faults. Besides matched nonlinearity, this paper also considers unmeasurable states and unknown actuator degradation ratio as important factors of the overall system. The estimates of system state vector are obtained by an adaptive sliding mode observer method firstly. Then, a novel integral-type sliding surface, corresponding to the unified closed-loop delta operator system, is provided based on aforementioned estimation values, and the fault closed-loop system is proven to be stable by the proposed sliding mode control law. Finally, the fault-tolerant control theory is verified to be valid via a practical simulation example.

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Section: Introductionmentioning

confidence: 99%

Adaptive Sliding Mode Control for High-Frequency Sampled-Data Systems with Actuator Faults

Zhao¹,

Liu²,

Liu³

et al. 2018

Designs

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“…Among various types of time-delays, the distributed delays have recently drawn a growing research interest because of its engineering significance [4,12,13], where most corresponding results have been concerned with continuous-time systems with continuously distributed delays described by either a finite or infinite integral. Nevertheless, the distributed delays in the discrete-time setting have not gained adequate research attention yet despite the fact that current digitalized control systems are inherently discrete-time ones, see [14][15][16] and the references therein. As such, it makes practical sense to focus more attention on the discrete-time NCSs with infinite-distributed delays.…”

Section: Introductionmentioning

confidence: 99%

“…In addition to the communication time-delays, some other network-induced phenomena inevitably emerge in the areas of control engineering and signal processing due to the limited bandwidth of the communication channels with examples including data missing [17][18][19][20], quantization [14,21] and randomly occurring nonlinearities [22,23]. There is, however, yet another special phenomenon typically induced by wireless networks that has been largely overlooked in the NCS community.…”

Section: Introductionmentioning

confidence: 99%

Non‐fragile H _∞ control with randomly occurring gain variations, distributed delays and channel fadings

Wang

Ding

et al. 2015

IET Control Theory & Applications

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This paper is concerned with the non-fragile H ∞ control problem for a class of discrete-time systems subject to randomly occurring gain variations (ROGVs), channel fadings and infinite-distributed delays. A new stochastic phenomenon (ROGVs), which is governed by a sequence of random variables with a certain probabilistic distribution, is put forward to better reflect the reality of the randomly occurring fluctuation of controller gains implemented in networked environments. A modified stochastic Rice fading model is then exploited to account for both channel fadings and random time-delays in a unified representation. The channel coefficients are a set of mutually independent random variables which abide by any (not necessarily Gaussian) probability density function on [0, 1]. Attention is focused on the analysis and design of a non-fragile H ∞ output-feedback controller such that the closed-loop control system is stochastically stable with a prescribed H ∞ performance. Through intensive stochastic analysis, sufficient conditions are established for the desired stochastic stability and H ∞ disturbance attenuation, and the addressed non-fragile control problem is then recast as a convex optimization problem solvable via the semi-definite programme method. An example is finally provided to demonstrate the effectiveness of the proposed design method.

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“…For this reason, the state estimation over networks cannot be ignored in order to achieve better performance in applications such as remote sensing, space exploration and sensor networks. Therefore, a lot efforts have been devoted to the filtering problem, see for example Zhang and Yu (2008); Li and Shi (2014); Wu and Chen (2007); Sun et al (2008); Wang et al (2007); Niu et al (2009);Sun (2012); Yashiro and Yakoh (2014) and the references therein. However, so far, the filtering problem for NCSs with mixed stochastic delays, quantization and packet dropout has not been fully investigated, which motivates us for this study.…”

Section: Introductionmentioning

confidence: 99%

Robust H-Infinity Filtering for Networked Control Systems with Markovian Jumps and Packet Dropouts

Fang-wen¹,

Shi²,

Wang³

et al. 2014

MIC

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This paper deals with the H ∞ filtering problem for uncertain networked control systems. In the study, network-induced delays, limited communication capacity due to signal quantization and packet dropout are all taken into consideration. The finite distributed delays with probability of occurrence in a random way is introduced in the network.The packet dropout is described by a Bernoulli process. The system is modeled as Markovian jumps system with partially known transition probabilities. A full-order filter is designed to estimate the system state. By linear inequality approach, a sufficient condition is derived for the resulting filtering error system to be mean square stable with a prescribed H ∞ performance level. Finally, a numerical example is given to illustrate the effectiveness and efficiency of the proposed design method.

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Output-feedback control design for NCSs subject to quantization and dropout

Cited by 162 publications

References 19 publications

Adaptive Sliding Mode Control for High-Frequency Sampled-Data Systems with Actuator Faults

Adaptive Sliding Mode Control for High-Frequency Sampled-Data Systems with Actuator Faults

Non‐fragile H _∞ control with randomly occurring gain variations, distributed delays and channel fadings

Robust H-Infinity Filtering for Networked Control Systems with Markovian Jumps and Packet Dropouts

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Output-feedback control design for NCSs subject to quantization and dropout

Cited by 162 publications

References 19 publications

Adaptive Sliding Mode Control for High-Frequency Sampled-Data Systems with Actuator Faults

Adaptive Sliding Mode Control for High-Frequency Sampled-Data Systems with Actuator Faults

Non‐fragile H ∞ control with randomly occurring gain variations, distributed delays and channel fadings

Robust H-Infinity Filtering for Networked Control Systems with Markovian Jumps and Packet Dropouts

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Non‐fragile H _∞ control with randomly occurring gain variations, distributed delays and channel fadings