In this paper, a fuzzy wavelet neural control scheme with improved prescribed performance
is investigated for micro-electro-mechanical system (MEMS) gyroscope in the presence of …

The stable control of product quality when abnormal working conditions occur in the
industrial production process is essential to improve product quality and economic …

In this paper, a singularity-free adaptive fuzzy backstep** control (AFBC) scheme is
presented for uncertain nonlinear SISO systems with triangular structure by using dynamic …

Power fluctuations caused by Photovoltaics (PV) prevent the penetration of large-scale PV
power into the grid as it causes multiple instabilities such as frequency deviations, voltage …

This paper is devoted to the interval type-2 (IT2) fuzzy exponential stability for nonlinear
networked sampled-data control systems with random communication links. By using the …

This paper proposes a real-time NMPC-based controller for four-wheel independent motor-
drive electric vehicles to improve vehicle longitudinal and lateral stability under extreme …

In this work, a multi-agent distributed model predictive control (DMPC) including fuzzy
negotiation has been developed. A novel fuzzy inference system is introduced as a …

Identification of nonlinear systems finds extensive applications in control design and stability
analysis. To identify complex nonlinear systems, the neural network has drawn the attention …

Trajectory tracking control of a quadcopter drone is a challenging work due to highly-
nonlinear dynamics of the system, coupled with uncertainties in the flight environment (eg …

This paper proposes a latent variable nonlinear iterative learning model predictive control
method (LV-NILMPC) based on the dynamic fuzzy partial least squares (DFPLS) model to …