Jinliang Liu

Control and Systems Engineering · with Hu · 2010–2019

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Jinliang Liu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Chen Peng
  2. Qing-Long Han
  3. Xiaohua Ge
  4. Shengyuan Xu
  5. João Pedra Hespanha
  6. Dong Yue
  7. Xuerong Mao
  8. Xianming Zhang
  9. Derui Ding
  10. Jin Zhang

Who trusts Jinliang Liu overall

  1. Peng Shi
  2. Fanbiao Li

Papers from Jinliang Liu's perspective

Ordered by how strongly the researchers Jinliang Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A Delay System Method for Designing Event-Triggered Controllers of Networked Control Systems (IEEE Transactions on Automatic Control)
  2. Distributed Attack Detection and Secure Estimation of Networked Cyber-Physical Systems Against False Data Injection Attacks and Jamming Attacks (IEEE Transactions on Signal and Information Processing over Networks)
  3. Input-to-State Stabilizing Control Under Denial-of-Service (IEEE Transactions on Automatic Control)
  4. Wirtinger-based integral inequality: Application to time-delay systems (at - Automatisierungstechnik)
  5. Exponential stability of stochastic delay interval systems with Markovian switching (IEEE Transactions on Automatic Control)
  6. Reciprocally convex approach to stability of systems with time-varying delays (at - Automatisierungstechnik)
  7. A survey on security control and attack detection for industrial cyber-physical systems (Neurocomputing)
  8. Security Control for Discrete-Time Stochastic Nonlinear Systems Subject to Deception Attacks (IEEE Transactions on Systems, Man & Cybernetics. Systems)
  9. A survey on recent advances in distributed sampled-data cooperative control of multi-agent systems (Neurocomputing)
  10. Event-triggered dynamic output feedback control for networked control systems

Their papers