Realizing high performance of ordinary robots is one of the core problems in robotic
research. Improving the performance of ordinary robots usually relies on the collaborative …

Current robotic studies are focused on the performance of specific tasks. However, such
tasks cannot be generalized, and some special tasks, such as compliant and precise …

Long short-term memory (LSTM) neural networks and attention mechanism have been
widely used in sentiment representation learning and detection of texts. However, most of …

This article proposes a sensorless speed control approach of Induction motor (IM) applying
full-order terminal sliding-mode (FOTSM) control theory. The speed control system consists …

This paper presents a speed controller using a fuzzy-logic controller (FLC) for indirect field-
oriented control (IFOC) of induction motor (IM) drives fed by a four-switch three-phase …

Universal approximation, continuity, and differentiability are desirable properties of any
computational framework, including those that rise from human cognition and/or are inspired …

DC motor are commonly used in industrial application, because of that advantages over
other types of motors. Some applications of DC motor require more advanced control …

There is a strong trend in the development of control systems for multi-rotor unmanned aerial
vehicles (UAVs), where minimization of a control signal effort is conducted to extend the …

In this paper, speed and torque control modes (SCM and TCM) of synchronous reluctance
motor (SynRM) drives are proposed based on emotional controllers and space vector …

This paper presents a bio-inspired emotion based intelligent controller for Permanent
Magnet Synchronous Machine (PMSM) drive. There are certain parts in mammal brain are …