The Lyapunov equation is widely employed in the engineering field to analyze stability of
dynamic systems. In this paper, based on a new evolution formula, a novel finite-time …

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 …

The zeroing neural network (ZNN) model, a powerful approach for addressing time-varying
problems, has been extensively applied in the calculation and optimization fields. In this …

Many practical problems can be solved by being formulated as time-varying quadratic
programing (TVQP) problems. In this paper, a novel power-type varying-parameter recurrent …

Lyapunov equation is widely encountered in scientific and engineering fields, and especially
used in the control community to analyze the stability of a control system. In this paper, a …

Neural-dynamics methods for solving quadratic programming (QP) have been studied for
decades. The main feature of a neural-dynamics solver is that it can generate a continuous …

Zeroing neural network (ZNN) has a wide application in various fields, which is a very
important and novel type of recurrent neural network (RNN). To deepen and expand the …

This article is primarily concerned with finite-time convergence (FTC) and predefined-time
convergence (PTC) design for a class of general zeroing neural network (ZNN) by …

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 …

In this paper, we propose continuous time neural network and modified continuous time
neural networks for solving a multi-linear system with M-tensors. Theoretically, we prove that …