Networked control system overview and research trends
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Networked Control System: Overview and Research Trends. Rachana Ashok Gupta, Member, IEEE, and Mo-Yuen Chow, Fellow, IEEE. Outline. I. INTRODUCTION II. NCS BASICS III. NCS RESEARCH TOPICS AND TRENDS IV. CONCLUSION AND FUTURE RESEARCH. I. INTRODUCTION.

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Networked Control System: Overview and Research Trends

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Networked control system overview and research trends

Networked Control System: Overviewand Research Trends

Rachana Ashok Gupta, Member, IEEE, and Mo-Yuen Chow, Fellow, IEEE







I introduction


  • Definition: When a traditional feedback control system is closed via a communication channel (such as a network), which may be shared with other nodes outside the control system, then the control system is classified as a networked control system (NCS).

Ii ncs basics


  • NCS research is categorized into the following two parts

  • 1) Control of network

    • Study and research on communications and networks to make them suitable for realtime NCSs, e.g., routing control, congestion reduction, efficient data communication, networking protocol, etc.

  • 2) Control over network

    • This deals more with control strategies and control system design over the network to minimize the effect of adverse network parameters on NCS performance such as network delay.



  • Maintain the quality of service (QoS) and the quality of control (QoC).

  • QoS is the idea that transmission rates, error rates, and other characteristics can be measured, improved, and, to some extent, guaranteed in advance.

  • QoC is a runtime strategy where the quality (or performance) of a set of applications with real-time requirements is managed.

Iii ncs research topics and trends


  • A. Networking Technologies—Evolution and Research

  • B. Network Delay Effect

  • C. Fault-tolerant control (FTC) in NCS

  • D. Bandwidth Allocation and Scheduling

  • E. Network Security in NCS

  • F. Integration of Components in NCS

A networking technologies evolution and research

A. Networking Technologies—Evolution and Research


    • 1969

  • Controller Area Network (CAN)

    • 1980s

  • Fieldbus

    • 1989

  • Ethernet

    • the most widely implemented physical and link layer protocol today.

  • Internet

    • the most suitable and inexpensive choice for many applications where the plant and the controller are far away from each other.

  • Wireless NCS (WNCS)

    • Motivation: mobile operations, flexible installations, and rapid deployments

    • 802.11 a/b/g, bluetooth, ZigBee …

  • Colandairaj et al. demonstrated that the principles of codesign, the merging of communication technology with control theory

B network delay effect

B. Network Delay Effect

  • The network can introduce unreliable/nondeterministic levels of service in terms of delays, jitter, and losses.

  • Time-sensitive applications can be either hard real time or soft real time

1 modeling and analysis of network delays

(1) Modeling and Analysis of Network Delays

  • Network delays are modeled and analyzed in various ways. They can be modeled as

  • a constant delay (timed buffer)

  • an independent random delay

  • a delay with known probability distribution governed by the Markov chain model

2 delay compensation

(2) Delay Compensation

2 delay compensation1

(2) Delay Compensation

Other solutions includes:

  • Stability and stabilization of a class of multimode systems

  • A gain scheduler middleware (GSM)

  • A delay-independent stability condition

  • Control prediction generator and a network delay compensator(precise delay time models are needed)

  • A time delay compensation method based on the

  • Concept of network disturbance and communication disturbance observer(delay time model is not needed)

  • A networked predictive controller in the presence of random network delay in both the forward and feedback channels.

  • Represented nonlinear NCSs by a T-S fuzzy model

  • Discrete-model switch system for NCSs with time delay and packet drop

  • A state feedback controller for NCSs for asymptotic stability

C ftc in ncs


  • Fault tolerance is implemented to prevent faults from propagating through the system.

  • Patankar presented a model in [69] for a fault-tolerant NCS using time-triggered protocol communication.

  • Huoet al. [68] studied scheduling and control codesign for a robust FTC of NCS based on robust H∞ FTC idea.

  • Wang et al. [71] proposed a fault detection approach for NCS, which considers the influence of unknown and random network-induced delay as multiplicative faults.

  • Mendes et al. [70] proposed a multiagentplatformbased on decentralized design and distributed computing for FTC systems.

  • Zhu and Zhou [72] applied a states-observerbased fault detection approach on the uncertain long-time-delay NCS without changing the system construction.

  • A procedure for controlling a system over a network using the concept of an NCS information packet is described by Klinkhieoet al. in [73]. This procedure is composed of an augmented vector consisting of control moves and fault flags. The size of this packet is used to define a completely fault-tolerant NCS.

D bandwidth allocation and scheduling

D. Bandwidth Allocation and Scheduling

  • Objective: minimizing the cost and maximizing the service data flow.

  • The network scheduling method should have a basic sampling time within maximum allowable delay bound (MADB) while still guaranteeing real-time transmission.

  • 1) NCS Scheduling Approaches

    • Rate monotonic scheduling (RMS)

  • 2) DBA: Dynamic bandwidth allocation

    • supporting multimedia applications like VoIP, video traffic, and ATM networks.

E network security in ncs

E. Network Security in NCS

  • A biologically inspired learning model for multiagent IDS utilized in the network infrastructures of industrial plants.

  • methods to determine and reduce the vulnerability of NCS to unintended and malicious intrusions for an industrial plant

  • policy-based network security technologies and XML processing technologies

  • characterized the WNCS application on the basis of security effect on NCS performance

  • D. Dzung, M. Naedele, T. P. Von Hoff, and M. Crevatin, “Security for industrial communication systems,” Proc. IEEE, vol. 93, no. 6, pp. 1152–1177, Jun. 2005.

F integration of components in ncs

F. Integration of Components in NCS


  • Integration of the individual modules.

  • A well-designed software architectural framework and a middleware are critical.


  • autonomous vision-based navigation, obstacle avoidance, and convoy tracking;

  • process information from a large number of diverse sensors using multilevel symbolization;

  • highly integrated control and programming platform named Motronic in automotive industry

Iv conclusion and future research



  • Network delay compensation and resource allocation have been analyzed since the advent of NCS.

  • Scheduling, network security with NCS, fault tolerance are the ones which came into focus later.

    Unsolved problems

  • The real-time secured control.

  • Designing an FTC system for a large-scalecomplex NCS

  • Build new protocols which will give the flexibility to the system and make it time independent

  • Multiagent traffic control in urban areas with efficient vehicle communication, includes correct data estimation, data fusion in real time to make robust decisions.

More referneces

More referneces

  • Colandairaj, J.; Scanlon, W.; Irwin, G.; "Understanding wireless networked control systems through simulation," Computing & Control Engineering Journal , vol.16, no.2, pp. 26- 31, April-May 2005

  • J. Colandairaj, G. W. Irwin, and W. G. Scanlon, “A co-design solution for wireless feedback control,” in Proc. IEEE Int. Conf. Netw., Sens. Control, 2007, pp. 404–409.

  • D. Dzung, M. Naedele, T. P. Von Hoff, and M. Crevatin, “Security for industrial communication systems,” Proc. IEEE, vol. 93, no. 6, pp. 1152–1177, Jun. 2005.

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