Abstract Machine learning (ML) methods has recently contributed very well in the
advancement of the prediction models used for energy consumption. Such models highly …

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

A generalized Sylvester equation is a special formulation containing the Sylvester equation,
the Lyapunov equation and the Stein equation, which is often encountered in various fields …

Constrained optimization problems arise in numerous scientific and engineering
applications, and many papers on the online solution of constrained optimization problems …

Neural networks have been generally deemed as important tools to handle kinds of online
computing problems in recent decades, which have plenty of applications in science and …

In this paper, a neural-dynamic distributed scheme is proposed for the cooperative control of
multiple redundant manipulators with limited communications. It is guaranteed that, with the …

Time-delay phenomena extensively exist in practical systems, eg, multi-agent systems,
bringing negative impacts on their stabilities. This work analyzes a collaborative control …

In this paper, we propose an adaptive fuzzy dynamic surface control (DSC) scheme for
single-link flexible-joint robotic systems with input saturation. A smooth function is utilized …

Various zeroing neural network (ZNN) models have been investigated to address the
tracking control of robot manipulators for the capacity of parallel processing and nonlinearity …

Motion planning is a core issuein the field of robotic control, which directly affects the
programming efficiency of robots. In this article, we study the motion planning problem of …