Xu Jin

Control and Systems Engineering · 2015–2019

A researcher in the Science corpus: 4 papers; trusts 38 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Xu Jin trusts overall

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

  1. Keng Peng Tee
  2. Shuzhi Sam Ge
  3. Mou Chen
  4. Yongduan Song
  5. Zongyu Zuo
  6. Yujuan Wang
  7. Zhouhua Peng
  8. Francis Eng Hock Tay
  9. Wassim M. Haddad
  10. Andrey E. Polyakov

Who trusts Xu Jin overall

  1. An-Yang Lu
  2. Zhouhua Peng
  3. Wenhai Qi
  4. Guang‐Hong Yang
  5. Shude He
  6. Xin Wang
  7. Shi-lu Dai
  8. Ming Chen
  9. Dan Wang

Papers from Xu Jin's perspective

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

  1. Finite-Time Stability of Continuous Autonomous Systems (SIAM Journal of Control and Optimization)
  2. Control of fully actuated ocean surface vessels using a class of feedforward approximators (IEEE Transactions on Control Systems Technology)
  3. Consensus problems in networks of agents with switching topology and time-delays
  4. Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints (at - Automatisierungstechnik)
  5. Nonlinear Feedback Design for Fixed-Time Stabilization of Linear Control Systems (IEEE Transactions on Automatic Control)
  6. Robust Adaptive Neural Network Control for a Class of Uncertain MIMO Nonlinear Systems With Input Nonlinearities (IEEE Transactions on Neural Networks)
  7. Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form (IEEE Transactions on Neural Networks)
  8. Adaptive actuator failure compensation for nonlinear MIMO systems with an aircraft control application (at - Automatisierungstechnik)
  9. Time-varying feedback for regulation of normal-form nonlinear systems in prescribed finite time (at - Automatisierungstechnik)
  10. Barrier Lyapunov Functions for the control of output-constrained nonlinear systems (at - Automatisierungstechnik)

Their papers