The problem of asymptotic tracking control for a class of uncertain switched nonlinear
systems under fuzzy approximation framework is solved in this paper. Superior to most …

For improving the convergence rate and time-varying disturbance rejection ability, an
adaptive nonsingular terminal sliding mode controller based on disturbance compensation …

Electromagnetic levitation is a cutting-edge technology with a wide range of applications in
several fields. Because of the increasing demand for this technology, an in-depth …

Magnetic levitation systems belong to an important and challenging class of control
engineering problems with nonlinear uncertain dynamics, multiple disturbances and large …

MAGnetic LEVitation (Maglev) is a multi-variable, non-linear and unstable system that is
used to levitate a ferromagnetic object in free space. This paper presents the stability control …

This paper presents design and implementation of adaptive Second Order Sliding Mode
Control (SOSMC) for a four wheels Skid-Steered Mobile Robot (SSMR). The control …

Robots play an important role all over the world in the industrial field in terms of handling
various materials and performing duties quickly with high accuracy. Product handlings in the …

Actuators nonlinearities are unknown external perturbations in robots, which are unwanted
because they can severely limit their performance. This research is focused on the …

In this paper, we propose a fuzzy approach for optimal robust control design of an
automotive electronic throttle (ET) system. Compared with the conventional ET control …

In this paper, a self-organizing deep belief network (SODBN) with growing and pruning
algorithms is proposed for nonlinear system modeling. Although deep learning-based DBN …