Fault-Tolerant Sliding-Mode-Observer Synthesis of Markovian Jump Systems Using Quantized Measurements

By Peng Shi, Ming Liu, Lixian Zhang. IEEE transactions on industrial electronics (1982. Print), 2015

304 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/3999cde89faa2156cf8dc537097bfb8567cb72af

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Hongyi Li
2. Qi Zhou
3. Haiping Du
4. Hao Shen
5. Hak-Keung Lam
6. Victor Sreeram
7. Jiahui Wang
8. Feng Li

Citations in the corpus

• Slow State Variables Feedback Stabilization for Semi-Markov Jump Systems With Singular Perturbations (2018, background): “Early research efforts on MJSs have concentrated on the stability, controllability, and stabilization or state estimation/filtering problems by means of an ideal assumption, that is, the transition probabilities (TPs) in the Markov process are completely known and memoryless [4], [17], [18], [23].”
• Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems (2016, methodology): “It is worth noticing that, the work in [47] presented a new descriptor sliding mode observer and synthesized a discontinuous input to reject actuator faults for a class of Markovian jump systems.”
• A new strategy for integration of fault estimation within fault-tolerant control (2016, methodology): “To obviate this BMI problem, Shi and Patton (2015) proposed a two-step method for integrated FE/FTC design for LPV descriptor systems with actuator/sensor faults and disturbance.”