Global Stabilization of Robot Control with Neural Network and Sliding Mode

In this paper an adaptive fuzzy sliding mode controller is proposed to improve the performance of a pneumatic isolator in the low frequency range, i.e., where the passive

The Attitude Determination and Control Subsystem operating modes are the nominal mode, with geocentric pointing attitude control and the stabilization mode, in which only

In this paper, an RBF neural network was used as a classifier in the face and fingerprint recognition system in which the inputs to the neural network are

In this paper, the adaptive neural network sliding mode controller proposed to control a DC motor, so we compare proposed controller with PID, classic SMC and

In this paper, a robust 4-layer Convolutional Neural Network (CNN) architecture is proposed for the face recognition problem, with a solution that is capable of handling

Since the Lyapunov exponents are not required for these calculations, the sliding mode control method is effective and convenient to achieve global chaos synchronization of

Tube Model Predictive Control with an Auxiliary Sliding Mode Controller.. Miodrag Spasi´ c 1 , 2 Morten Hovd 2 Darko Miti´ c 1 Dragan Anti´

In contrast to the previous works of SMC, the concept of quasi sliding mode control (QSMC) is first introduced such that a continuous control input is