Robot manipulators are playing increasingly significant roles in scientific researches and
engineering applications in recent years. Using manipulators to save labors and increase …

Using neural networks to handle intractability problems and solve complex computation
equations is becoming common practices in academia and industry. It has been shown that …

A correlation between fuzzy logic systems (FLS) and zeroing neural networks (ZNN) design
is investigated. It is shown that the gain parameter included in ZNN design can be …

Zeroing neural network (ZNN) has been applied to various time-varying problems solving,
and numerous ZNN models have been developed in recent years, such as power-type …

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 …

Zeroing neural network (ZNN, or termed Zhang neural network after its inventor), being a
special type of neurodynamic methodology, has shown powerful abilities to solve a great …

Generalized projective synchronization (GPS) as a deeply influential chaos synchronization
has always attracted lots of attention. However, plenty of traditional control methods do not …

A special recurrent neural network (RNN), that is the zeroing neural network (ZNN), is
adopted to find solutions to time‐varying quadratic programming (TVQP) problems with …

This paper analyzes the existing zeroing neural network (ZNN) models from the perspective
of control theory. It proposes an exclusive ZNN model for solving the dynamic complex …

To solve dynamic quadratic minimization, a nonlinearly activated integration design formula
is first proposed in this paper with additive noises considered. Then, on the basis of such a …