Codesign of networked control systems: A review from different perspectives

Yan, Hehua; Li, Di; Tu, Yuqing; Zhang, Ping

doi:10.1109/cyber.2011.6011769

Cited by 10 publications

(2 citation statements)

References 44 publications

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“…There are a great amount of NCS based on events: reference [ 20 ] highlights the importance of the network architecture and the protocol used, in addition, [ 21 ] emphasizes the importance of measuring the QoC in the NCS. Systems that work in NCS environments must cover these features.…”

Section: Related Workmentioning

confidence: 99%

Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service

Poza-Lujan

Posadas-Yagüe

Simó-Ten

et al. 2015

Sensors

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This paper is part of a study of intelligent architectures for distributed control and communications systems. The study focuses on optimizing control systems by evaluating the performance of middleware through quality of service (QoS) parameters and the optimization of control using Quality of Control (QoC) parameters. The main aim of this work is to study, design, develop, and evaluate a distributed control architecture based on the Data-Distribution Service for Real-Time Systems (DDS) communication standard as proposed by the Object Management Group (OMG). As a result of the study, an architecture called Frame-Sensor-Adapter to Control (FSACtrl) has been developed. FSACtrl provides a model to implement an intelligent distributed Event-Based Control (EBC) system with support to measure QoS and QoC parameters. The novelty consists of using, simultaneously, the measured QoS and QoC parameters to make decisions about the control action with a new method called Event Based Quality Integral Cycle. To validate the architecture, the first five Braitenberg vehicles have been implemented using the FSACtrl architecture. The experimental outcomes, demonstrate the convenience of using jointly QoS and QoC parameters in distributed control systems.

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Section: Related Workmentioning

confidence: 99%

Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service

Poza-Lujan

Posadas-Yagüe

Simó-Ten

et al. 2015

Sensors

View full text Add to dashboard Cite

show abstract

“…This control architecture has as its main objective the reduction of the data packets transmitted over the network. In this way, the amount of bandwidth necessary for feedback control to maintain certain stability and performance criteria is minimized The control and communication co-design is a new and interesting research [13]. In the co-design approach, network issues such as time delay, packet dropout, and bandwidth limitation will be considered simultaneously with control system issues such as stability and control performance.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Time Delay Compensation Process in Networked Control System

Moon¹

2016

International journal of advanced smart convergence

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Networked Control System (NCS) has evolved in the past decade through the advances in communication technology. The problems involved in NCS are broadly classified into two categories namely network issues due to network and control performance due to system network. The network problems are related to bandwidth allocation, scheduling and network security, and the control problems deal with stability analysis and delay compensation. Various delays with variable length occur due to sharing a common network medium. Though most delays are very less and mostly neglected, the network induced delay is significant. It occurs when sensors, actuators, and controllers exchange data packet across the communication network. Networked induced delay arises from sensor to controller and controller to actuator. This paper presents an adaptive delay compensation process for efficient control. Though Smith predictor has been commonly used as dead time compensators, it is not adaptive to match with the stochastic behavior of network characteristics. Time delay adaptive compensation gives an effective control to solve dead time, and creates a virtual environment using the plant model and computed delay which is used to compensate the effect of delay. This approach is simulated using TrueTime simulator that is a Matlab Simulink based simulator facilitates co-simulation of controller task execution in real-time kernels, network transmissions and continuous plant dynamics for NCS. The simulation result is analyzed, and it is confirmed that this control provides good performance.

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Design Support Tools of Cyber-Physical Systems

Zhou

Liu

et al. 2014

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Codesign of networked control systems: A review from different perspectives

Cited by 10 publications

References 44 publications

Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service

Distributed Sensor Architecture for Intelligent Control that Supports Quality of Control and Quality of Service

Adaptive Time Delay Compensation Process in Networked Control System

Design Support Tools of Cyber-Physical Systems

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