Robust fuzzy control of nonlinear systems with parametric uncertainties
By Ho Jae Lee, Jin Bae Park, Guanrong Chen. IEEE transactions on fuzzy systems, 2001
560 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/37f41c0bca29cd339cbab57e7d78dda4b127c697
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In Computer Networks and Communications
In Statistical and Nonlinear Physics
Citations in the corpus
- 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].”
- A systematic approach to improve multiple Lyapunov function stability and stabilization conditions for fuzzy systems (2009, background): “It is possible to add constraints over input/output signals, decay rate, and D-stability bounds [10,25]; to introduce index performances, such as the H1 [16,17,24] and H2 [6,41] control; and to design controllers for systems with uncertainties [21,43] or Markovian jumps [1,2].”