Y. Li

Control and Systems Engineering · with Chen · 2011–2012

A researcher in the Science corpus: 2 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Y. Li trusts overall

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

  1. Dan Wang
  2. T. Zhang

Who trusts Y. Li overall

  1. Huanqing Wang
  2. Yong-ming Li
  3. Shaocheng Tong

Papers from Y. Li's perspective

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

  1. Neural network-based adaptive dynamic surface control for a class of uncertain nonlinear systems in strict-feedback form (IEEE Transactions on Neural Networks)
  2. Adaptive dynamic surface control of nonlinear systems with unknown dead zone in pure feedback form (at - Automatisierungstechnik)
  3. Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems (at - Automatisierungstechnik)
  4. Adaptive NN Backstepping Output-Feedback Control for Stochastic Nonlinear Strict-Feedback Systems With Time-Varying Delays (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))
  5. On designing of sliding-mode control for stochastic jump systems (IEEE Transactions on Automatic Control)
  6. A combined backstepping and small-gain approach to robust adaptive fuzzy control for strict-feedback nonlinear systems (IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans)
  7. Adaptive neural network control for a class of uncertain nonlinear systems in pure-feedback form (at - Automatisierungstechnik)
  8. Dynamic surface control for a class of nonlinear systems (IEEE Transactions on Automatic Control)
  9. Adaptive NN control of uncertain nonlinear pure-feedback systems (at - Automatisierungstechnik)
  10. Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients (IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics))

Their papers