Analysis and synthesis of nonlinear time-delay systems via fuzzy control approach
By Yong-Yan Cao, Paul Martin Frank. IEEE transactions on fuzzy systems, 2000
827 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/9399c80e3415cce3636031f0caefb609adbf42ea
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In Artificial Intelligence
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Citations in the corpus
- A New Design of Delay-Dependent Robust ${\cal H}_{\bm \infty}$ Filtering for Discrete-Time T--S Fuzzy Systems With Time-Varying Delay (2009, methodology): “, s}, in the filter (or observer, output-feedback controller) rules and the plant rules are the same [8], [9], [12], [30], [32], [33], [35], [37], [42], [46], [49], [50].”
- Stability and stabilization for discrete-time Markovian jump fuzzy systems with time-varying delays: Partially known transition probabilities case (2013, background): “It is well known that time-delays occur frequently in many practical systems, and they are a significant source of instability and poor performance [6,7].”
- Delay-dependent guaranteed cost control for T-S fuzzy systems with time delays (2004, methodology): “The system parameters and fuzzy membership functions are selected as those in [16].”
- A Survey on Analysis and Design of Model-Based Fuzzy Control Systems (2006, background): “mance indexes [6], [34], [167], [168], [317]; and iii) controller designs of time-delay T–S fuzzy systems with or without various performance indexes [33], [42], [56], [112], [168], [317], [323].”