Foundations of Control and Estimation Over Lossy Networks

By Luca Schenato, Bruno Sinopoli, Massimo Franceschetti, Kameshwar Poolla, Shankar Sastry. Proceedings of the IEEE, 2007

1,461 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/5aaf8305b8e670d9b85cc06a91321239025bb9dc

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Citations in the corpus

Stabilization of Networked Control Systems With a New Delay Characterization (2008, background): “The idea in [31], [32] is illuminating for solving this observer-based control problem.”
Optimal Estimation in Networked Control Systems Subject to Random Delay and Packet Drop (2008, methodology): “This is a fundamental property since it is necessary to give rise to the separation principle for the LQG optimal control, which is one of the most widely used tool in control system design [15] [36].”
Distributed Collaborative Control for Industrial Automation With Wireless Sensor and Actuator Networks (2010, methodology): “control for random information delays [13], a simulatedannealing-based algorithm for WSANs [19], signal estimation and control methods in [20]–[22], etc.”
Optimal LQG control across packet-dropping links (2007, background): “[17] and Imer et al.”
Secure Control: Towards Survivable Cyber-Physical Systems (2008, methodology): “The authors in [28] have studied the performance of the Kalman filter under Bernoulli loss model.”
To Zero or to Hold Control Inputs With Lossy Links? (2009, methodology): “if actuators are provided with computational resources, then the whole controller [14] or a compensation filter [16] can be placed on the actuator.”
Networked control systems: a survey of trends and techniques (2020, methodology): “Several methods to deal with Bernoulli packet dropouts [119], [120] and Markovian packet dropouts [121], [122] can be employed to evaluate the impact of such attacks on the closed-loop system performance, see, e.”
False data injection attacks against state estimation in wireless sensor networks (2010, background): “study the impact of random packet drops on controller and estimator performance [14].”
Decentralized Parameter Estimation by Consensus Based Stochastic Approximation (2007, methodology): “In order to analyze the influence of intermittent measurements and unreliable communication links (applying the methodology of [34]–[37]), we shall adopt that the above introduced matrices and are random, satisfying the following general assumptions: — the diagonal elements of are in the form , wher”
Secure control against replay attacks (2009, background): “study the impact of random packet drops on controller and estimator performance [6] [7].”
For the Grid and Through the Grid: The Role of Power Line Communications in the Smart Grid (2010, neutral): “ in the simplest settings [68]. Many theories are emerging that deal with the issue of control under communication constraints that apply broadly to cyber-physical systems (see e.g. [69], [70], [71], [72], [73]), however modular and scalable solutions of network control are still elusive in many cas”
Distributed Kalman filtering for sensor networks (2007, background): “Moreover, estimation issues in wireless networks with packet-loss have been the center of much attention lately [19], [7], [18].”
Distributed containment control of multi‐agent systems with general linear dynamics in the presence of multiple leaders (2013, methodology): “The following lemma shows the existence of solutions for the MARE.”
Input-to-State Stabilizing Control Under Denial-of-Service (2015, positive): “In fact, most of networked control approaches assume that the communication failures follow a given class of probability distributions [3], [4], which is hardly justified in case of a malicious adversary.”
Detecting Integrity Attacks on SCADA Systems (2014, background): “[9], [10] studied the effect of random packet drops on controller and estimator performance.”
Kalman Filtering Over a Packet-Dropping Network: A Probabilistic Perspective (2010, background): “The authors extended their result from estimation to closed loop control in [9] where stability regions of packet arrival rates are provided.”
Wireless Network Design for Control Systems: A Survey (2017, methodology): “Reference [187] develops a design framework of fault-tolerant NCSs for industrial automation applications.”