In this paper, a novel fuzzy neural network structure for uncertain nonlinear systems is
proposed. This network is called wavelet Takagi–Sugeno–Kang (TSK) fuzzy cerebellar …

Finite‐state model predictive control (FS‐MPC) has been widely used for controlling power
converters and electric drives. Predictive torque control strategy (PTC) evaluates flux and …

In this paper, an adaptive Takagi–Sugeno (T–S) fuzzy controller based on reinforcement
learning for controlling the nonlinear dynamical systems is proposed. The parameters of the …

To improve surplus torque suppression and loading performance of electric load simulators,
this paper presents a loading control strategy based on the new mapping approach and …

An improved cerebellar model articulation controller (CMAC) based on the compound
algorithms of credit assignment (CA) and optimized smoothness (OS) is proposed to …

This paper presents an adaptive robust motion control algorithm for linear induction motor
(LIM) with electromagnetic nonlinearity compensation to suppress nonlinear magnetic thrust …

This paper proposes a method to prevent overlearning (weight drift) and bursting in adaptive
control using the cerebellar model arithmetic computer (CMAC). Traditional robust adaptive …

This paper proposes improvements to the cerebellar model articulation controller (CMAC).
Often, the CMAC plays the role of a fuzzy nonlinear approximator in direct adaptive control …

This work proposes modifications to the adaptive update law for a cerebellar model
articulation controller (CMAC) and develops a model of a transcritical organic rankine cycle …

The cerebellar model articulation controller, or CMAC, is a type of associative memory
neural network suitable for use in direct adaptive control schemes. However, the CMAC …