Design of a model identification fuzzy adaptive controller and stability analysis of nonlinear processes
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Cited by (21)
Robust adaptive fuzzy control for a class of nonlinear coupled ODE–beam systems with boundary uncertainty
2018, Fuzzy Sets and SystemsCitation Excerpt :And recently, many other issues have been extensively studied, such as state/input constrained control [21,22], fault-tolerant tracking control [23], predefined performance control [24] and unknown dead-zones control [25]. The adaptive fuzzy control technique has been also utilized to stabilize PDE systems via early lumping [26]. On the other hand, when the accurate nonlinear models are known, the Takagi–Sugeno (T–S) fuzzy-model-based control technique has been successfully applied to nonlinear ODEs [17,18,27], PDEs via early lumping [28,29] or late lumping [30,31], and coupled ODE–PDE systems [32,33], since it combines the merits of both fuzzy logic theory and linear system theory.
Space-decomposition based 3D fuzzy control design for nonlinear spatially distributed systems with multiple control sources using multiple single-output SVR learning
2017, Applied Soft Computing JournalCitation Excerpt :In Ref. [24], an approximate optimal control method was proposed for a nonlinear parabolic PDE system based on NN and empirical eigenfunctions. Sagias et al. [25]. designed a fuzzy adaptive controller for a jacketed plug flow tubular reactor based on a precise PDE model.
Semiglobal stabilization of nonlinear systems using fuzzy control and singular perturbation methods
2002, Fuzzy Sets and SystemsTruncated Chebyshev series approximation of fuzzy systems for control and nonlinear system identification
2002, Fuzzy Sets and SystemsInterval-valued fuzzy logic control for a class of distributed parameter systems
2007, International Journal of Uncertainty, Fuzziness and Knowldege-Based Systems