Analysis and synthesis of networked control systems: A survey of recent advances and challenges

Zhang, Dan; Shi, Peng; Wang, Qing‐Guo; Yu, Li

doi:10.1016/j.isatra.2016.09.026

Cited by 346 publications

(127 citation statements)

References 200 publications

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“…Compared with the traditional point to point control systems, NCSs can be potentially designed into large‐scale systems and widely used in many fields due to its easy installation and maintenance, convenient layout and high flexibility . However, the integration of communication networks into feedback control loops inevitably leads to non‐ideal network quality of services, e.g.…”

Section: Introductionmentioning

confidence: 99%

Mixed Event‐Triggered Mechanism Modeling and Controlling for Networked Control Systems with Time‐Varying Delays and Uncertainties

Liu

2018

Asian Journal of Control

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This paper is concerned with modeling and controlling under the mixed event‐triggered mechanism (ETM) for networked control systems (NCSs) with time‐varying delays and uncertainties. Firstly, an event‐triggered threshold is set by using both state and state‐independent informations in the mixed ETM. Then the event‐triggered NCSs with network‐induced time‐varying delays which exist in both sensor‐to‐controller and controller‐to‐actuator channels are modeled as a general time‐delay system. Based on the piecewise differentiable characteristic of the time‐varying delay and by using the approach of free weighting matrix and reciprocally convex, a less conservative criterion to be globally uniformly ultimately bounded (GUUB) stability and a controller design method are derived. Furthermore, an algorithm is proposed to obtain the desired mixed ETM and state‐feedback controller which can render the network load and control performance to reach an expected level. Compared with the relative and absolute ETMs, the proposed mechanism can effectively improve the transmission efficiency during the whole working time. Finally, a numerical example is given to show the effectiveness of the proposed approach.

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Section: Introductionmentioning

confidence: 99%

Mixed Event‐Triggered Mechanism Modeling and Controlling for Networked Control Systems with Time‐Varying Delays and Uncertainties

Liu

2018

Asian Journal of Control

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“…Even considering the increasing tendency to include ESs, wireless networks, and Internet access in DNCSs, these features do not exclude OT and wired local networks from the domain of CPSs because they provide the same essential function of integrating cyber and physical processes in control systems. Accordingly, wireless networked control systems (WNCSs), some wireless sensor and actuator networks (WSANs), and CPS‐IoT applications, are subsets of CPSs equipped with their related accessory features.…”

Section: The Emergence Of Cps: Two Perspectives For Derivation Of Keymentioning

confidence: 99%

Conceptualizing the key features of cyber‐physical systems in a multi‐layered representation for safety and security analysis

Guzman

Wied

Kozine

et al. 2019

Systems Engineering

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Many safety‐related systems are evolving into cyber‐physical systems (CPSs), integrating information technologies in their control architectures and modifying the interactions among automation and human operators. Particularly, a promising potential exists for enhanced efficiency and safety in applications such as autonomous transportation systems, control systems in critical infrastructures, smart manufacturing and process plants, robotics, and smart medical devices, among others. However, the modern features of CPSs are ambiguous for system designers and risk analysts, especially considering the role of humans and the interactions between safety and security. The sources of safety risks are not restricted to accidental failures and errors anymore. Indeed, cybersecurity attacks can now cascade into safety risks leading to physical harm to the system and its environment. These new challenges demand system engineers and risk analysts to understand the security vulnerabilities existing in CPS features and their dependencies with physical processes. Therefore, this paper (a) examines the key features of CPSs and their relation with other system types; (b) defines the dependencies between levels of automation and human roles in CPSs from a systems engineering perspective; and (c) applies systems thinking to describe a multi‐layered diagrammatic representation of CPSs for combined safety and security risk analysis, demonstrating an application in the maritime sector to analyze an autonomous surface vehicle.

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“… focused on the problem of stabilization of sampled‐data neural‐ network‐based systems with state quantization. For more related works on these aspects, we refer the readers to and the references cited therein.…”

Section: Introductionmentioning

confidence: 99%

Effect of Proportional Delays and Continuously Distributed Leakage Delays on Global Exponential Convergence of CNNS

Chen

2018

Asian Journal of Control

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This paper is concerned with a class of cellular neural networks (CNNs) with proportional delays and continuously distributed leakage delays. Using the differential inequality theory, a set of sufficient conditions which guarantee the exponential convergence of all solutions of CNNs with proportional delays and continuously distributed leakage delays are derived. Computer simulations are carried out to verify our theoretical findings. The obtained results of this paper are new and complement some previous studies.

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Analysis and synthesis of networked control systems: A survey of recent advances and challenges

Cited by 346 publications

References 200 publications

Mixed Event‐Triggered Mechanism Modeling and Controlling for Networked Control Systems with Time‐Varying Delays and Uncertainties

Mixed Event‐Triggered Mechanism Modeling and Controlling for Networked Control Systems with Time‐Varying Delays and Uncertainties

Conceptualizing the key features of cyber‐physical systems in a multi‐layered representation for safety and security analysis

Effect of Proportional Delays and Continuously Distributed Leakage Delays on Global Exponential Convergence of CNNS

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