There is a high demand for developing effective controllers to perform fast and accurate
operations for either flexible link manipulators (FLMs) or rigid link manipulators (RLMs) …

In this paper, an adaptive neural network force tracking impedance control scheme based
on a nonlinear observer is proposed to control robotic system with uncertainties and external …

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

Nonlinear equation is an important cornerstone of nonlinear science, and many practical
problems in scientific and engineering fields can be described by nonlinear equation in …

Modeling and control of vehicle suspension system are high noteworthy from safety to
comfort. In this paper, an analytical nonlinear half-vehicle model which is included quadratic …

This paper proposes a nonlinearly activated neural dynamics to solve time-varying
nonlinear equations in real time. Different from most existing neural dynamics for solving …

Sylvester equation is widely used to study the stability of a nonlinear system in the control
field. In this paper, a finite-time Zhang neural network (FTZNN) is proposed and applied to …

An adaptive neural network finite-time controller (NNFTC) for a class of uncertain nonlinear
systems is proposed by using the backstepping method, which employs an adaptive neural …

In this paper, a better fast convergence zeroing neural network (BFCZNN) model with a new
activation function (AF) for solving dynamic nonlinear equations (DNE) and applying to …

In this paper, a finite-time convergent Zhang neural network (ZNN) is proposed and studied
for matrix square root finding. Compared to the original ZNN (OZNN) model, the finite-time …