… In this work, we propose an effective method to nonlinear optimal control based on fuzzy
control. The optimal fuzzy controller is designed by solving a minimization problem that …

… The design of a global optimal controller based on the proposed estimation method is detailed
in Section 6. Section 7 entails two nonlinear examples of an inverted pendulum and Van …

… to provide the desired non-linear control actions by carefully adjusting their parameters. In
… to nonlinear optimal control based on fuzzy control. The optimal fuzzy control methodology …

… fuzzy optimal control [14]-[17] for discrete-time affine TS model is proposed. The controller
… The resulting controller is also an affine fuzzy system that uses the same antecedent part of …

… new class of generalized fuzzy systems. First, we consider the optimal control problem for a
… , which gives a controller structure for the generalized fuzzy systems (1). Then, we proposed …

… In this paper, optimal control for stochastic linear singular Takagi–Sugeno (T–S) fuzzy delay
… To obtain the optimal control, the solution of matrix Riccati differential equation (MRDE) is …

… Nonlinear control systems based on the Takagi–Sugeno (TS) fuzzy model 1 have attracted
… and controller design of fuzzy control systems in view of a fruitful conventional control theory …

… In this paper, optimal control for stochastic linear quadratic singular neuro … In this paper,
optimal control of a stochastic linear quadratic singular neuro TS fuzzy system is obtained using …

… a generalized version of Takagi–Sugeno (T–S) fuzzy model. One of the key features of the
new approach is that the proposed incremental state model compared with the no incremental …

… a generalized form of Takagi–Sugeno (T–S) fuzzy systems, which is newly developed in this
paper. The generalized … Furthermore, we convert the reduction error between reduced fuzzy …