A Survey of Recent Results in Networked Control Systems

By João Pedra Hespanha, Payam Naghshtabrizi, YongGang Xu. Proceedings of the IEEE, 2007

3,893 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/4d7ea9efe369f1beb95b4b3d6fc7e6af2dc5414c

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In Computer Networks and Communications

In Control and Systems Engineering

Citations in the corpus

A survey of distributed optimization (2019, background): “…ubiquitous in practical systems especially multi-agent systems, due to extra time required to get information, limited communication speed, computation time and execution time required to implement the control input ( Aström & Kumar, 2014; Cao et al., 2013; Hespanha, Naghshtabrizi, & Xu, 2007 ).”
Secure Control: Towards Survivable Cyber-Physical Systems (2008, background): “Several extensions to this formulation have been proposed by various researchers [15].”
Event-Triggered Adaptive Control for a Class of Uncertain Nonlinear Systems (2017, background): “Nowadays, network control gains more and more attention since it can improve control efficiency as well as reduce reconfiguration and maintenance cost [1]–[3].”
SINR-Based DoS Attack on Remote State Estimation: A Game-Theoretic Approach (2017, background): “The proposed problem formulation also addresses the power control issue for wireless sensors which are usually expected to work for a long time without replacements of the onboard batteries (e.g., due to widespread sensors and a possibly dangerous environment [1]).”
Recent Advances on Fuzzy-Model-Based Nonlinear Networked Control Systems: A Survey (2016, background): “tages of NCSs come from their low cost, their flexibility and easy reconfigurability, their natural reliability and robustness to failure, and their adaptation capability [1]–[3].”
Distributed Synchronization in Networks of Agent Systems With Nonlinearities and Random Switchings (2013, methodology): “Remark 2: The practical controllers are inﬂuenced by environmental circumstances [31], [37].”
Kalman Filtering Over a Packet-Dropping Network: A Probabilistic Perspective (2010, background): “The readers are referred to [15] and references therein for some recent results in the area of networked control systems.”
Networked Synchronization Control of Coupled Dynamic Networks With Time-Varying Delay (2010, background): “On the other hand, much effort has been devoted for the networked control systems due to its many advantages (such as simple installation, low cost and maintenance, and high reliability) (see [13] and [14]).”
Recent developments on the stability of systems with aperiodic sampling: An overview (2017, background): “1 with a clock submitted to jitter (Wittenmark, Nilsson, & Torngren, 1995), or with some scheduling protocol which is too complex to be modelled explicitly (Hespanha et al., 2007; Zhang et al., 2001).”
Network-Induced Constraints in Networked Control Systems—A Survey (2013, methodology): “…have been given in different phases, such as the surveys by Tipsuwan and Chow in 2003 [12] on time-delay problems in NCSs, and Yang in 2006 [13], Hespanha et al. in 2007 [14] on additional types of imperfections in NCSs, such as packet losses, time-varying sampling intervals, and competition of…”
Stability of Networked Control Systems With Uncertain Time-Varying Delays (2009, background): “Their advantages are a flexible architecture and a reduction of installation and maintenance costs, [1], [2].”
Wireless Network Design for Control Systems: A Survey (2017, background): “discard disordered messages [48], [93], [94].”
State‐dependent switching control of delayed switched systems with stable and unstable modes (2018, methodology): “For t ∈ [tk + σ, tk + 1), ẋ(t) is given by (8) and the analysis is the same as the discussion for the second subinterval in Case 1.”
Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop (2008, methodology): “…at the estimator at time t, we assume that a zero 3 is stored in the 2 For example, ATM communication protocols adopts packets with 384-bit data field, Ethernet IEEE 802.3 packets allows for at least 368 bits for data payload, Bluetooth for 499 bits [18] and IEEE 802.15.4 for up to 1000 bits.”
Secure Control Systems: A Quantitative Risk Management Approach (2015, background): “These networked control systems are ubiquitous in modern societies [1].”