Xiaoxu Liu

Control and Systems Engineering · 2016

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xiaoxu Liu trusts overall

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

  1. Zhiwei Gao
  2. V. Venkatasubramanian
  3. Steven X. Ding
  4. Shen Yin
  5. Carlo Cecati
  6. Salim Ibrir
  7. Raghunathan Rengaswamy

Papers from Xiaoxu Liu's perspective

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

  1. Improved PLS Focused on Key-Performance-Indicator-Related Fault Diagnosis (IEEE transactions on industrial electronics (1982. Print))
  2. Intelligent Particle Filter and Its Application to Fault Detection of Nonlinear System (IEEE transactions on industrial electronics (1982. Print))
  3. Detection and Classification of Single and Combined Power Quality Disturbances Using Neural Networks (IEEE transactions on industrial electronics (1982. Print))
  4. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches (IEEE transactions on industrial electronics (1982. Print))
  5. A Review on Basic Data-Driven Approaches for Industrial Process Monitoring (IEEE transactions on industrial electronics (1982. Print))
  6. A review of process fault detection and diagnosis: Part I: Quantitative model-based methods (Computers and Chemical Engineering)
  7. Actuator fault robust estimation and fault-tolerant control for a class of nonlinear descriptor systems (at - Automatisierungstechnik)
  8. Observer-based control of discrete-time Lipschitzian non-linear systems: application to one-link flexible joint robot
  9. A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part II: Fault Diagnosis With Knowledge-Based and Hybrid/Active Approaches (IEEE transactions on industrial electronics (1982. Print))
  10. H_/H∞ fault detection filter design for discrete-time Takagi-Sugeno fuzzy system (at - Automatisierungstechnik)

Their papers