Joint design of control and communication in wireless networked control systems: A case study

Chamaken, A.; Litz, Lothar

doi:10.1109/acc.2010.5531426

Cited by 15 publications

(10 citation statements)

References 13 publications

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“…τ max [25] 0.0283 [26] 0.2105 [27] 0.1062 [28] 0.4927 [29] 0.1728 [30] 0.3105 [31] 0.0902 Method proposed in this paper 0.6333 of the guaranteed cost function) can be obtained as J Ã 0 ¼ 28:0783 . The state response of NCS is shown in Fig.…”

Section: Methodsmentioning

confidence: 99%

“…Then, we need to acquire Inequality (13) through transformation based on Inequality (26), which is equivalent to the following inequalities by applying the theory given in Lemma 1 and Schur complement, also used by D. Yue [31]:…”

Section: Preliminariesmentioning

confidence: 99%

“…As shown, the networked control system becomes steady at 30s. Now, we use the method proposed in [25][26][27][28][29][30][31] to investigate the same system under consideration of the effect of the delay. The maximum allowable upper bounds of the transmission delay that guarantee the stability of a system controlled over a network are given in Table I.…”

Section: Siimulationsmentioning

confidence: 99%

See 2 more Smart Citations

Guaranteed Cost Control of Networked Control Systems Under Transmission Control Protocol with Active Queue Management

Zhu

2015

Asian Journal of Control

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The problem of a guaranteed cost controller design of networked control systems under transmission control protocol (TCP) is derived. To improve the overall performance of the networked control system, a scheme to simultaneously control the plant and the network is presented. An analytical TCP model is used to design active queue management (AQM) to achieve the desired queue length, which is helpful in reducing the variation of the network induced delay. Moreover, a new closed loop model of networked control systems is obtained by augmenting the TCP communication model with the control plant. The guaranteed cost controller is addressed in terms of a linear matrix inequality (LMI) to render the system asymptotically stable based on Lyapunov‐Krasovskii theory and weighted technology. Finally, numerical simulations are included to demonstrate the theoretical results.

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Section: Methodsmentioning

confidence: 99%

Section: Preliminariesmentioning

confidence: 99%

Section: Siimulationsmentioning

confidence: 99%

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Guaranteed Cost Control of Networked Control Systems Under Transmission Control Protocol with Active Queue Management

Zhu

2015

Asian Journal of Control

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“…In particular, a variety of measurements has been conducted for inverted pendulums [4]- [6] (which, according to Boubaker [7], have been used since the 1950s as a control benchmark for its simple structure but nonlinear dynamics) and batch reactors [8]- [10]. All these implementations perform real-world measurements of standard NCSes to proof the validity of their contributions.…”

Section: Related Workmentioning

confidence: 99%

Benchmarking Networked Control Systems

Gallenmüller¹,

Günther²,

Leclaire³

et al. 2018

2018 IEEE Workshop on Benchmarking Cyber-Physical Networks and Systems (CPSBench)

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Abstract-Smartification of devices and ever-increasing connectivity are major factors paving the way towards the creation of networked control systems (NCS). Traditionally, both domains involved in an NCS, network and control, are considered separately. Towards a novel methodology for benchmarking such systems, we propose a series of key performance indicators (KPIs) that are based on well-established foundations of both worlds. These KPIs form our framework for the development of an NCS benchmark. The majority of KPIs, particularly those from the network domain, are applicable to any type of NCS. We are currently implementing an evaluation platform based on Lego Mindstorms to demonstrate and apply our framework. Both the benchmarking framework and our platform are designed with high affordability and easy reproducibility in mind.We plan to release our source code and construction manuals to motivate others to recreate our benchmark.

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“…However data communication networks application generates its own problems due to random delay and dropout [2]. A delay is a time that needed by data package to arrive on the receiver.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of HSPA Technology for Networked Control System Application

Murti¹,

Tjokronegoro²,

Leksono³

et al. 2016

IJCCE

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Delay and dropout are important parameters in Networked Control System (NCS). They influence to overall control system performance. The characteristic of delay and dropout that occur in the network should be considered on NCS implementation. Global System for Mobile (GSM) technology is advantage alternative on wide coverage and easy deployment to provide connection through internet network. Live performance testing of GSM network commonly looks at the quality of service parameters, such as throughput, jitter, and packet loss. Those parameters are not enough for considering NCS implementation. The goal of this research is to find the properties of one-way delay and dropout of every single data packet and the performance of the High Speed Packet Access (HSPA) network regarding to NCS needed application design. Testing has done by observing each data packet sent to the destination. The delay and dropout as a function of the data size and Transmission Time Interval are analyzed. The amount of delay and dropout are influenced by speed availability of mobile operator. The result from this test had 60 kbps average internet speed and with 800 Byte of data size, 1000 packets transmitted on interval of 100 ms, the delay and dropout increased significantly up to 9.5 s of delay and 43% of dropout. This paper recommended data size and transmission time interval under 600 Byte and 100 ms to keep delay and dropout at low level.

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Joint design of control and communication in wireless networked control systems: A case study

Cited by 15 publications

References 13 publications

Guaranteed Cost Control of Networked Control Systems Under Transmission Control Protocol with Active Queue Management

Guaranteed Cost Control of Networked Control Systems Under Transmission Control Protocol with Active Queue Management

Benchmarking Networked Control Systems

Performance Analysis of HSPA Technology for Networked Control System Application

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