IEEE

Safe Reinforcement Learning Direct Torque Control for Continuous Control Set Permanent Magnet Synchronous Motor Drives

Abstract: Reinforcement learning (RL) algorithms enable automated controller configuration without plant-specific parameter knowledge and allow consideration of multiple objectives in a single ...
IEEE

Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions

Abstract: The rapid progress in digitalization and automation have led to an accelerated growth in healthcare, generating novel models that are creating new channels for rendering treatment at reduced ...
IEEE

Data-Driven Fault Diagnosis of Lithium-Ion Battery Overdischarge in Electric Vehicles

Abstract: The overdischarge can significantly degrade a lithium-ion (Li-ion) battery's lifetime. Therefore, it is important to detect the overdischarge and prevent severe damage of the Li-ion battery.
IEEE

Distributed Control of Nonlinear Multiagent Systems With Unknown and Nonidentical Control Directions via Event-Triggered Communication

Abstract: In this paper, the leader-following output consensus problem for a class of uncertain nonlinear multiagent systems with unknown control directions is investigated. Each agent system has ...
IEEE

Data-Driven Model Predictive Control for Redundant Manipulators With Unknown Model

Abstract: The tracking control of redundant manipulators plays a crucial role in robotics research and generally requires accurate knowledge of models of redundant manipulators. When the model ...
IEEE

A Q-Learning-Based Routing Approach for Energy Efficient Information Transmission in Wireless Sensor Network

Abstract: Nowadays, wireless sensor networks have played an important role in many applications. In these applications, a large number of wireless sensors are deployed in an environment to collect ...
IEEE

Robust Control of an Aerial Manipulator Based on a Variable Inertia Parameters Model

Abstract: Aerial manipulator, which is composed of an unmanned aerial vehicle (UAV) and a multilink manipulator and can perform aerial manipulation, has shown great potential of applications. However, ...
IEEE

On the Perturb-and-Observe and Incremental Conductance MPPT Methods for PV Systems

Abstract: This paper presents a detailed analysis of the two most well-known hill-climbing maximum power point tracking (MPPT) algorithms: the perturb-and-observe (P&O) and incremental conductance ...
IEEE

Event-Triggered Asymmetric Bipartite Consensus Tracking for Nonlinear Multi-Agent Systems Based on Model-Free Adaptive Control

Abstract: In this paper, an asymmetric bipartite consensus problem for the nonlinear multi-agent systems with cooperative and antagonistic interactions is studied under the event-triggered mechanism.
IEEE

Concept and Development of a Pumped Heat Electricity Storage Device

Abstract: This paper addresses the early conceptualization of a system for reversible heat/work conversion based upon the heat engine cycle, developed in 1833 by John Ericsson, in combination with ...
IEEE

Design and Analysis of an MPPT Technique for Small-Scale Wind Energy Conversion Systems

Abstract: This paper proposes a maximum power point tracking (MPPT) algorithm for small-scale wind energy conversion systems. The proposed algorithm uses the dc current as the perturbing variable. The ...
IEEE

Improved Deadbeat Predictive Current Control of PMSM Drives With Repetitive Control-Based Disturbance Correction Observer

Abstract: In order to achieve high robustness and high-precision current control, this article proposes a disturbance correction observer based on repetitive control (RDCO) for deadbeat predictive ...