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Derui Ding

Researcher at University of Shanghai for Science and Technology

Publications -  186
Citations -  9503

Derui Ding is an academic researcher from University of Shanghai for Science and Technology. The author has contributed to research in topics: Computer science & Filter (signal processing). The author has an hindex of 39, co-authored 151 publications receiving 5756 citations. Previous affiliations of Derui Ding include Northeast Petroleum University & Swinburne University of Technology.

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A survey on security control and attack detection for industrial cyber-physical systems

TL;DR: An overview of recent advances on security control and attack detection of industrial CPSs is presented, and robustness, security and resilience as well as stability are discussed to govern the capability of weakening various attacks.
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Networked control systems: a survey of trends and techniques

TL;DR: A survey of trends and techniques in networked control systems from the perspective of ‘ control over networks ’ is presented, providing a snapshot of five control issues: sampled-data control, quantization control, networking control, event-triggered control, and security control.
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A Survey on Model-Based Distributed Control and Filtering for Industrial Cyber-Physical Systems

TL;DR: A review of the state-of-the-art of distributed filtering and control of industrial CPSs described by differential dynamics models is presented and some challenges are raised to guide the future research.
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Observer-Based Event-Triggering Consensus Control for Multiagent Systems With Lossy Sensors and Cyber-Attacks

TL;DR: The purpose of the address problem is to design an observer-based distributed controller such that the closed-loop multiagent system achieves the prescribed consensus in spite of the lossy sensors and cyber-attacks.
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Security Control for Discrete-Time Stochastic Nonlinear Systems Subject to Deception Attacks

TL;DR: This paper is concerned with the security control problem with quadratic cost criterion for a class of discrete-time stochastic nonlinear systems subject to deception attacks, and proposes an easy-solution version on above inequalities to obtain both the controller gain and the upper bound.