This paper focuses on the distributed event-triggered adaptive neural resilient time-varying
formation control problem for a class of multiple-input multiple-output nonlinear multi-agent …

The iron and steel industry, responsible for 8% of global energy use, faces challenges in
achieving low-carbon development. Reheating furnaces consume 67% of the energy in …

This paper deals with adaptive neural networks (NNs) output-feedback tracking control
problem for a general class of switched nonlinear time-delay systems with actuator …

This paper addressed the observer-based control problem for Takagi-Sugeno (TS) fuzzy
systems with stochastic packet losses. More specifically, an sampled-data (SD) control …

In this paper, an adaptive finite-time command filtered control scheme is investigated for a
class of nonlinear systems with asymmetric time-varying full state constraints and input …

A new control scheme for temperature adjustment of electric furnaces using a novel modified
electric eel foraging optimizer Page 1 AIMS Mathematics, 9(5): 13410–13438. DOI …

This study focuses on designing the fuzzy sampled-data observer (FSDO) scheme for
nonlinear permanent magnet synchronous generator (PMSG)-based wind turbine systems …

This paper introduces an observer-based neural quadratic sliding mode control strategy for
interconnected Markov jump systems faced with unknown interconnections, regardless of …

Billet heating temperature directly affects the quality of the billet, but the existing technology
cannot measure the billet surface temperature. Therefore, we accurately predict the …

In this paper, a unified level 2 Advanced Process Control system for steel billets reheating
furnaces is proposed. The system is capable of managing all process conditions that can …