Bounded communication between nodes of a networked control system as a strategy of scheduling

Esquivel-Flores, Oscar A.; Benítez-Pérez, Héctor; Méndez-Monroy, Paul E.; Ortega-Arjona, Jorge L.

doi:10.1080/17445760.2012.717941

Cited by 5 publications

(5 citation statements)

References 11 publications

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“…Reference [18] presents an improved dynamic EDF scheduling method for the network control systems, where task priority is changed according to the control error. References [19][20][21] demonstrate similar scheduling methods to set the task priority and reduce packet loss.…”

Section: Fuzzy Feedback Scheduling Methodsmentioning

confidence: 99%

The Fuzzy Feedback Scheduling of Real-Time Middleware in Cyber-Physical Systems for Robot Control

Tang

Zhang

2016

Journal of Sensors

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Cyber-physical systems for robot control integrate the computing units and physical devices, which are real-time systems with periodic events. This work focuses on CPS task scheduling in order to solve the problem of slow response and packet loss caused by the interaction between each service. The two-level fuzzy feedback scheduling scheme is designed to adjust the task priority and period according to the combined effects of the response time and packet loss. Empirical results verify the rationality of the cyber-physical system architecture for robot control and illustrate the feasibility of the fuzzy feedback scheduling method.

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Section: Fuzzy Feedback Scheduling Methodsmentioning

confidence: 99%

The Fuzzy Feedback Scheduling of Real-Time Middleware in Cyber-Physical Systems for Robot Control

Tang

Zhang

2016

Journal of Sensors

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“…As presented in [17], the change in frequency transmission of each node through the time is represented using the relations of frequencies amongst a particular node and all nodes. It means that the frequency transmission rate of each node is influenced by changes in transmission rate of other nodes.…”

Section: Frequency Controlmentioning

confidence: 99%

“…where x(k), u(k) are the state and input vectors, A p j and B p j are the plant representation per scenario according to current time delays which are bounded as proposed by [17] following figure 1.…”

Section: Fuzzy Control Design Considering Time Delaysmentioning

confidence: 99%

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Fuzzy networked control systems design considering frequency transmission and bounded delays restrictions as local phase problem

Benítez-Pérez

Esquivel-Flores

2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

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Nowadays network control systems present a common approximation when connectivity is the issue to be solved based on time delays coupling from external factors. However, this approach tends to be complex in terms of time delays and the inherent local phase missing. Therefore, it is necessary to study the behavior of the delays as well as the integration onto differential equations of these bounded delays. The related time delays needs to be known a priory but from a dynamic real time behavior in order to understand dynamic phase behavior. The objective of this paper is to show a way to include data frequency transmission and time delays that are bounded as parameters of the dynamic response from real-time scheduling approximation considering local phase situation. The related control law is designed considering fuzzy logic approximation for nonlinear time delays coupling. The main advantage is the integration of this behavior through extended state space representation keeping certain linear and bounded behavior leading to a stable situation during events presentation based on accurate data transmission rate. What is expected is to conform the basics local phase missing as result of local bounded time delays from the lack of tide synchronization as modeling approximation.

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“…The bus-based robot control systems [1] should connected all functional components to a unified bus, it achieved a high degree of loosely coupled structure [2]. However, due to the intervention of the bus, the components chould not directly interact each other, it caused a delay and packet lossing, and affected the performance of the control system eventually.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Digital Signal Processing Module Based on PCI Bus and FPGA

Jia¹,

Peng²

2015

Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference

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Abstract. Signal acquisition and processing technology based on FPGA is researched. FPGA is the core of the signal acquisition and processing systems, it controlled each module to complete signal acquisition and processing tasks. The article mainly researched and designed of FPGA-based control and processing systems, including FPGA-based signal acquisition module, FPGA-based signal processing module and FPGA-based storage control module. Acquisition and control module is mainly for controlling channel selection switch and A / D converter to work that generate multi-channel selection logic control signals and A / D conversion timing control in order to complete the multi-channel analog input signal acquisition control; Signal Processing Module mainly for through the A / D converted digital signal to FFT processing; storage control module's role is to control the memory work, that is, memory logic control signals generated, in order to achieve control of the processing results of store.

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Bounded communication between nodes of a networked control system as a strategy of scheduling

Cited by 5 publications

References 11 publications

The Fuzzy Feedback Scheduling of Real-Time Middleware in Cyber-Physical Systems for Robot Control

The Fuzzy Feedback Scheduling of Real-Time Middleware in Cyber-Physical Systems for Robot Control

Fuzzy networked control systems design considering frequency transmission and bounded delays restrictions as local phase problem

Design and Implementation of Digital Signal Processing Module Based on PCI Bus and FPGA

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