Overview of Networked Control Systems

Gupta, Rachana Ashok; Chow, Mo-Yuen

doi:10.1007/978-1-84800-215-9_1

Cited by 47 publications

(27 citation statements)

References 31 publications

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“…[6] In direct structure the sensor is actually attach to the system (located at same place where the system is) and controller control the system over the network as illustrated in Figure 7. The hierarchical NCS can have multiple subsystems which form hierarchical structure.…”

Section: Ncs and Its Typesmentioning

confidence: 99%

Networked Control System An Overview

Asif¹,

Webb²

2015

IJCA

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Section: Ncs and Its Typesmentioning

confidence: 99%

Networked Control System An Overview

Asif¹,

Webb²

2015

IJCA

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“…Actual control systems are always constituted by sensor, controller, and actuator through the shared communication network . The network resource normally includes communication resource and computing resource . In traditional control, the controller's output is kept transferring to actuator .…”

Section: Introductionmentioning

confidence: 99%

Adaptive event‐triggered neural control for nonlinear uncertain system with input constraint

Chen

Wang

et al. 2020

Intl J Robust & Nonlinear

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In this article, the issue of developing an adaptive event-triggered neural control for nonlinear uncertain system with input delay is investigated. The radial basis function neural networks (RBFNNs) are adopted to approximate the uncertain terms, where the time-varying approximation errors are considered into the approximation system. However, the RBFNNs' weight vector is extended, which may cause the computing burdens. To save network resource, the computing burden caused by the weight vector is handled with the developed adaptive control strategy. Furthermore, in order to compensate the effect of input delay, an auxiliary system is introduced into codesign. With the help of adaptive backstepping technique, an adaptive event-triggered control approach is established. Under the proposed control approach, the effect of input delay can be compensated effectively while the considered system suffered network resource constraint, and all signals in the close-loop system can be guarantee bounded. Finally, two simulation examples are given to verify the proposed control method's effectiveness. K E Y W O R D Sadaptive control, event-triggered, input delay, neural networks, nonlinear systems INTRODUCTIONActual control systems are always constituted by sensor, controller, and actuator through the shared communication network. 1-5 The network resource normally includes communication resource and computing resource. 4,5 In traditional control, the controller's output is kept transferring to actuator. 4 It may create redundant update signals that would result in the waste of the communication network. What's more, it may cause the congested network traffic when the control system suffering the network resource constraints. 6 Such issues have prompted event-triggered strategy's development.Because the event-triggered strategy has superiority in deciding which event occurred to transmit the control signal. 6,7 The network resource can be saved by reducing of the communication rate. 7 Thus, many researchers have placed great emphasis on the design of event-triggered strategy. Many research achievements have been published. [8][9][10][11] In Reference 8, the mixed event-triggered strategy was presented for nonlinear systems. In Reference 10, the improved event-triggered mechanism was presented by using an additional internal dynamic variable. The event-triggered system was analyzed [Correction added on 12 May 2020, after first online publication: Affiliations 1 and 2 and the first and second authors were interchanged and have since been corrected in this version.] Int J Robust Nonlinear Control. 2020;30:3801-3815. wileyonlinelibrary.com/journal/rnc © 2020 John Wiley & Sons, Ltd. 3801 3802 CHEN et al.through a small gain theorem tool in Reference 11. More event-triggered strategies were introduced to different control systems. [12][13][14][15][16] Noting the above research achievements show the effectiveness of event-triggered strategy in saving network resources. It is well known that nonlinear systems exist uncertain parts in r...

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“…Recently, networked control system (NCS) has gone through wide studies due to its many advantages, such as reduced wiring cost, flexible maintenance and high reliability [1]- [3]. NCS has been found in many applications including manufacturing plants, automobiles, aircraft and remote surgery [4]. In general, a NCS consists of sensors, actuators and controllers whose operations are distributed at different geographical locations and coordinated via information exchanged over shared communication networks [4].…”

Section: Introductionmentioning

confidence: 99%

“…NCS has been found in many applications including manufacturing plants, automobiles, aircraft and remote surgery [4]. In general, a NCS consists of sensors, actuators and controllers whose operations are distributed at different geographical locations and coordinated via information exchanged over shared communication networks [4]. Using a shared band limited digital network as medium to connect could cause some imperfections such as network-induced time delay, data packet dropout, quantization, sampling and data rate constraints [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

Supervision of Nonlinear Networked Control Systems Under Network Constraints

Najjar

Dinh

Amairi

et al. 2019

2019 4th Conference on Control and Fault Tolerant Systems (SysTol)

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The remote supervision for a class of nonlinear systems in the presence of additive disturbances and measurement noises is considered in this paper. The communication network may introduce time delays while exchanging data among sites connected to the network medium (i.e., the data acquisition site and the remote plant site). Two different approaches are presented in this paper. The first one uses a conventional estimator-based predictor when the uncertainties are supposed to be known. In the case of unknown but bounded uncertainties by known bounds, an interval estimation-based predictor evaluating the set of admissible values for the state is investigated. The state prediction techniques are used to compensate the effect of network-induced delays. Simulation results are introduced to illustrate the efficiency of the proposed techniques.

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Overview of Networked Control Systems

Cited by 47 publications

References 31 publications

Networked Control System An Overview

Networked Control System An Overview

Adaptive event‐triggered neural control for nonlinear uncertain system with input constraint

Supervision of Nonlinear Networked Control Systems Under Network Constraints

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