Paolo Mercorelli

Distinguished Full Professor

Leuphana University of Lüneburg

Germany

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Paolo Mercorelli is a Distinguished Full Professor at Leuphana University of Lüneburg, Germany. His research focuses on advanced technologies in robotics, control systems, and machine learning, as evidenced by his recent publications on topics such as robotic wheelchairs, 5G communication networks, and energy optimization in actuators. He is committed to exploring innovative approaches to enhance automation and system performance across various applications.

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Collaborators (2)

Ahmad Almadhor

SAUDI ARABIA

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Meshari Alanazi

jouf university

SAUDI ARABIA

View details

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Paolo Mercorelli

Research Interests

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About

Articles (29)

Inner loop model predictive control and outer loop PI reference governor for PMSMs with input and state saturation for torque control

Investigating Learning Assistance by Demonstration for Robotic Wheelchairs: A Simulation Approach

DownLink amplified loss function module for 5G air to terrestrial communication networks

A Fluid Elastomeric Actuator Design for Soft Robots

Techniques of Control for Energy Optimization in Actuators, Motors, and Power Generation Systems

An innovative efficiency of incubator to enhance organization supportive business using machine learning approach

Noninteracting optimal and adaptive torque control using an online parameter estimation with help of polynomials in EKF for a PMSM

Dynamic Performance Analysis and Fault Ride-Through Enhancement by a Modified Fault Current Protection Scheme of a Grid-Connected Doubly Fed Induction Generator

An Over-Actuated Hexacopter Tilt-Rotor UAV Prototype for Agriculture of Precision: Modeling and Control

Neural Network-Based Finite-Time Control for Stochastic Nonlinear Systems with Input Dead-Zone and Saturation

Visual Detection of Traffic Incident through Automatic Monitoring of Vehicle Activities

A Study on the Performance of Adaptive Neural Networks for Haze Reduction with a Focus on Precision

Advanced Neural Classifier-Based Effective Human Assistance Robots Using Comparable Interactive Input Assessment Technique

Mathematics in Robot Control for Theoretical and Applied Problems

Optimal control strategies for PMSM with a decoupling super twisting SMC and inductance estimation in the presence of saturation

Mathematical Modeling for Robot 3D Laser Scanning in Complete Darkness Environments to Advance Pipeline Inspection

Recent Advances in Intelligent Algorithms for Fault Detection and Diagnosis

Phase Shift APOD and POD Control Technique in Multi-Level Inverters to Mitigate Total Harmonic Distortion

Thermal Analysis and Cooling Strategies of High-Efficiency Three-Phase Squirrel-Cage Induction Motors—A Review

Sensor Fusion for Power Line Sensitive Monitoring and Load State Estimation

Control of Permanent Magnet Synchronous Motors for Track Applications

Identification of Parameters and States in PMSMs

Identification of Parameters and States in PMSMs

Jordan Canonical Form for Solving the Fault Diagnosis and Estimation Problems

Jordan Canonical Form for Solving the Fault Diagnosis and Estimation Problems

Design of an Over-Actuated Hexacopter Tilt-Rotor for Landing and Coupling in Power Transmission Lines

Design of an Over-Actuated Hexacopter Tilt-Rotor for Landing and Coupling in Power Transmission Lines

Fast template match algorithm for spatial object detection using a stereo vision system for autonomous navigation

Robust and Optimal Control Designed for Autonomous Surface Vessel Prototypes

Collaborators (2)

Ahmad Almadhor

Meshari Alanazi

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