Multiple-input multiple-output (MIMO) systems are usually present in process systems
engineering. Due to the interaction among the variables and loops in the MIMO system …

This paper develops an adaptive backstep** dynamic surface control method with RBF
Neural Network for a class of nonlinear system under extra disturbances. The considered …

A novel fractional gradient descent method with adaptive momentum is presented in this
paper to improve the convergence speed and stability for BP neural network training. The …

In this paper, a novel bearing intelligent fault diagnosis method based on a novel krill herd
algorithm (NKH) and kernel extreme learning machine (KELM) is proposed. Firstly …

In this paper, the fractional order gradient method (FOGM) is extended to the solution of high-
dimensional function optimization problems. A quasi fractional order gradient descent …

Higher-order multi-input multi-output systems pose challenges in terms of stability and
control performance due to increased complexity and interactions between multiple …

This paper investigates the time–domain response of nabla discrete fractional order systems
by exploring several useful properties of the nabla discrete Laplace transform and the …

The paper focuses on the numerical approximation of discrete fractional order systems with
the conditions of nonzero initial instant and nonzero initial state. First, the inverse nabla …

Our study focuses on the analysis of asymptotic stability and the development of asymptotic
stabilization control methods for fractional vehicle suspension systems (FVSS). We begin by …

The heavy industry plants are focused on finding ways to minimize energy costs, which is
one of the most significant costs of production. In this paper, a case study on a real oven …