Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Han-Leih Liu"'
Publikováno v:
Engineering Applications of Artificial Intelligence. 22:420-430
A fuzzy logic controller equipped with a training algorithm is developed such that the H∞ tracking performance should be satisfied for a model-free nonlinear multiple-input multiple-output (MIMO) system, with external disturbances. Due to universal
Publikováno v:
Fuzzy Sets and Systems. 143:211-232
Fuzzy control is a model free approach, i.e., it does not require a mathematical model of the system under control. An observer-based indirect adaptive fuzzy neural tracking control equipped with VSS and H∞ control algorithms is developed for nonli
Publikováno v:
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). 32:583-597
A new hybrid direct/indirect adaptive fuzzy neural network (FNN) controller with a state observer and supervisory controller for a class of uncertain nonlinear dynamic systems is developed in this paper. The hybrid adaptive FNN controller, the free p
Publikováno v:
IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics). 31:467-475
The stability analysis of the learning rate for a two-layer neural network (NN) is discussed first by minimizing the total squared error between the actual and desired outputs for a set of training vectors. The stable and optimal learning rate, in th
Publikováno v:
FUZZ-IEEE
In this paper, an observer-based direct adaptive fuzzy-neural network (FNN) controller with supervisory mode for a certain class of high order unknown nonlinear dynamical system is presented. The direct adaptive control (DAC) has the advantage of les
Publikováno v:
10th IEEE International Conference on Fuzzy Systems. (Cat. No.01CH37297).
A state observer-based combined direct/indirect adaptive FNN controller with supervisory controller for a class of uncertain nonlinear dynamic systems is developed in this paper. The combined adaptive FNN controller, whose free parameters can be tune
Publikováno v:
FUZZ-IEEE
In this paper, we develop an observer-based indirect adaptive fuzzy-neural controller with supervisory mode for a certain class of high order unknown nonlinear dynamical system. The free parameters of the adaptive fuzzy-neural controller with supervi
Autor:
Han-Leih Liu, Chi-Hsu Wang
Publikováno v:
IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028).
The stable learning rates for a two-layer neural network are discussed first by the Lyapunov stability theorem. This two-layer NN can then be incorporated into a fuzzy neural network (FNN) for a more efficient tuning process by a new genetic algorith
Publikováno v:
IEEE Transactions on Fuzzy Systems. 11:705-706
Publikováno v:
IEEE Transactions on Systems, Man & Cybernetics: Part B. Jun2001, Vol. 31 Issue 3, p467. 9p. 7 Diagrams, 16 Charts, 8 Graphs.