An Adaptive Two-Level Quantizer for Networked Control Systems

Almakhles, Dhafer; Swain, Akshya; Nasiri, Alireza; Patel, Nitish

doi:10.1109/tcst.2016.2574768

Cited by 43 publications

(25 citation statements)

References 19 publications

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“…From the results, it is observed that QSMQ, which does not satisfy the optimal condition, introduces high steady-state error (see Figure 2A). This steady-state error is a consequence of the perturbation term h s (av) (k) in (28).…”

Section: Simulation Resultsmentioning

confidence: 99%

“…However, the presence of switching component in ΔΣ-M introduces noise into the system which often degrades the performance of the overall system. Authors develop an adaptive ΔΣ-M in [28], which can be used for a class of industrial NCSs, to optimally reduce both quantization noise and data-rate by generating one-bit per sample. The proposed adaptive algorithm in ΔΣ-M is introduced to automatically estimate the input of the quantizer using equivalent control-based SMC.…”

Section: Introductionmentioning

confidence: 99%

“…The proposed adaptive algorithm in ΔΣ-M is introduced to automatically estimate the input of the quantizer using equivalent control-based SMC. The authors in [14,27,28] only considered the continuous-time quantized control systems and the conventional sliding mode reachability condition (s Tṡ < 0). Inspired by preliminary work published in [14,[29][30][31][32], this paper studies the effects of discretization on the stability and performance of switched control systems embedded with SMQ.…”

Section: Introductionmentioning

confidence: 99%

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Sliding mode control as binary‐based quantizers

Almakhles

2019

Asian Journal of Control

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In recent years, sliding mode quantizers (SMQs), where signals are converted to switching signals represented by sequence of binary values −1's and +1's, are increasingly being used in various applications including control of power converters, networked control systems (NCSs), one-bit control processing, etc.This paper derives the stability conditions of both continuous and discrete-time switched control systems which are embedded with SMQs and quasi-sliding mode quantizers (QSMQs), respectively. The optimal conditions of both SMQ and QSMQ, which assure that their outputs (binary values) optimally approximate their inputs, are established. The results of theoretical analysis are validated through numerical simulation.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sliding mode control as binary‐based quantizers

Almakhles

2019

Asian Journal of Control

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“…In recent years, a lot of interest and concern have been focused on networked control systems (NCSs) where communication channels interconnect sensors with controllers and/or controllers with actuators [1]. Compared with conventional point-to-point interconnected feedback control systems, NCSs have advantages in many aspects: higher system operability, more efficient resource utilization and sharing, lower cost, and reduced weight, as well as simplicity for system installation and maintenance [2][3][4]. Despite these distinctive features provided by NCSs, the insertion of communication network in the feedback control loops also brings about new challenges such as bandwidth-limited channel, network-induced delay, packet dropout, and packet disordering [5].…”

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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“…And then, it has developed rapidly. Until now it is still an important research issue (Almakhles, Swain, Nasiri, & Patel, 2017;Zhang, Shi, Wang, & Yu, 2017;Zhang, Yan, Yang, & Chen, 2011;Zhang, Han, & Yu, 2016). The NCSs have many advantages like: flexibility; low cost; simple installation and maintenance; reduced weight and power requirement, etc.…”

Section: Introductionmentioning

confidence: 99%

Performance limitation of networked control systems with networked delay and two-channel noises constraints

Qiao

Zhan

2018

Systems Science & Control Engineering

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The performance limitation of networked control systems (NCSs) with networked delay and twochannel noises constraints are studied in this paper. The networked parameters mainly consider the networked delay in the forward channel and white Gaussian noise constraint existing in forward channel and feedback channel. The tracking performance limitation expression is achieved by using the spectral decomposition technique and selecting the optimal one-parameter structure. The obtained result shows that the tracking performance limitation of NCSs is related to the position of the non-minimum phase zeroes, the position of the unstable poles, networked delay, two-channel noises and input signal. We can also know that the networked delay and white Gaussian noise have influence on the tracking performance limitation of NCSs. Finally, a simulation example is given to demonstrate effectiveness of the theoretical results.

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An Adaptive Two-Level Quantizer for Networked Control Systems

Cited by 43 publications

References 19 publications

Sliding mode control as binary‐based quantizers

Sliding mode control as binary‐based quantizers

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

Performance limitation of networked control systems with networked delay and two-channel noises constraints

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