Network-Induced Constraints in Networked Control Systems—A Survey
By Lixian Zhang, Huijun Gao, Okyay Kaynak. IEEE Transactions on Industrial Informatics, 2013
1,054 citations recorded by the source corpus.
Subfields: Computational Theory and Mathematics, Computer Networks and Communications, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/a0162d6542f4894e5c61a6b57b738e5f29678d65
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Citations in the corpus
- Distributed Event-Triggered Estimation Over Sensor Networks: A Survey (2020, background): “veys [73] and [74] on networked control systems and [75] on distributed networked control systems.”
- Recent Advances on Fuzzy-Model-Based Nonlinear Networked Control Systems: A Survey (2016, background): “with guaranteed stability, and optimized performance [6], [7].”
- Survey on Recent Advances in Networked Control Systems (2016, background): “In 2013, a survey on network-induced constraints in NCSs was carried out [2].”
- Tracking Control of Networked Multi-Agent Systems Under New Characterizations of Impulses and Its Applications in Robotic Systems (2016, background): “This imposes a limitation on the validity of the results, since systems with time-varying parameters or stochastic parameters are ubiquitous in practice and the channels in control systems often suffer from physical restrictions [5], [22], [23].”
- Synchronization in complex networks and its application - A survey of recent advances and challenges (2014, methodology): “…synchronization of complex networks, it is interesting to introduce distinct networked-induced constraints (Gao et al., 2008; Hespanha et al., 2007; Zhang et al., 2013) into the frameworks of synchronization such as time delays, time-varying sampling intervals, packet dropouts, saturations,…”
- Control of Nonlinear Networked Systems With Packet Dropouts: Interval Type-2 Fuzzy Model-Based Approach (2015, positive): “To mention a few, for the nonlinear NCSs, the stability and stabilization problems were investigated in [9] and [17]–[21], the fault detection problem was studied in [22] and [23], and the filter design problem was considered in [24]–[26], respectively.”
- Network-Based Event-Triggered Control for Singular Systems With Quantizations (2016, background): “In networked control systems (NCSs), the sharing of limited network bandwidth often causes network-induced delays, and data packet dropouts and disorder, which can deteriorate the performance and even destabilize the systems [5]–[11].”
- A survey on Markovian jump systems: Modeling and design (2015, methodology): “One framework for the analysis and design of NCSs with packet losses is the offline framework, where the controller is designed despite any situation of real packet losses[109-111].”
- Extended Dissipative State Estimation for Markov Jump Neural Networks With Unreliable Links (2017, background): “As reported in [10] and [34]–[37], these phenomena, such as packet dropouts, signal quantization, actuator/sensor saturation, random communication time delays, and so forth, could degrade the performance of NCSs significantly.”
- Fuzzy Control Systems: Past, Present and Future (2019, background): “• The first example is concerned with the design of nonlinear networked control systems (NCSs) in which network-induced imperfections, for instance network-induced delay and sampling issues, are intrinsic [70], [94].”
- Networked control systems: a survey of trends and techniques (2020, background): “Thus, how to deal with network-induced delays and packet dropouts has been a fundamental issue, and a great number of results on this topic have been published in the literature, see some monographs [64], [65] and survey papers [4], [7]–[9], [66], [67].”
- Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks (2018, background): “wireless data communication networks Ethernet and Internet [3], [4].”