2025 IEEE 37th International Conference on Electrical Drives and Power Electronics (EDPE)

Optimizing vehicle handling through Koopman-based model predictive torque vectoring: An experimental investigation

Reduction of Losses in Electric Power Distribution System - Dynamic Reconfiguration Case Study

Set-based fast gradient projection algorithm for model predictive control of grid-tied power converters

Nonlinear Predictive Torque Vectoring with Brake Blending for Electric Road Vehicles

Higher-Level Experimental Prototype of a Control Device for Dynamic Beverage-Cooling Process

Predictive Direct Yaw Moment Control Based on the Koopman Operator

Control of flooded evaporator in a beer dispenser unit

FPGA Implementation of Set-based Model Predictive Control

Predictive approach to torque vectoring based on the Koopman operator

Modelling and experimental verification of device with a submerged evaporator for beer cooling

Model predictive control of vehicle dynamics based on the Koopman operator with extended dynamic mode decomposition

Analysis of FPGA Implementation of Set-based Predictive Control for Grid-tied Inverters

Computationally Efficient Set-based Predictive Control for Grid-tied Inverters

Sliding Mode Observers Combined with Locked Loop Techniques for Sensorless Vector Controlled Synchronous Reluctance Machines

Piece-wise ellipsoidal set-based model predictive control of linear parameter varying systems with application to a tower crane

Predictive lane-keeping system for an autonomous vehicle

Set-based Predictive Control of a Grid-tied Inverter with LCL filter Under Variable Grid Inductance Conditions

Sliding Mode Control of Custom Built Rotary Inverted Pendulum

Predictive Torque Vectoring Vehicle Control Based on a Linear Time Varying Model

Successive Linearization Based Predictive Vehicle Torque Vectoring

Development of a Global Vision System for Testing of Control Systems for Unmanned Aerial Vehicles

Model Predictive Direct Current Control of Permanent Magnet Synchronous Generator based on Flexible Lyapunov Function Considering Converter Dead Time

Sequential distributed predictive control of a 3D tower crane

Hybrid CCS/FCS Model Predictive Current Control of a Grid Connected Two-Level Converter

Development of Human-Machine Interface for self-stabilizing city vehicle based on gyroscopic effect

Control of Electric Power Steering System

Design of a Path Tracking Controller for Unmanned Aerial Vehicle in Global Vision System

Design of an electronic device for speed control of a brushless DC motor

Analysis and comparison of techniques for electrical quantities phasor estimation

Constrained field-oriented control of permanent magnet synchronous machine with field-weakening utilizing a reference governor

Field Oriented Control of brushless DC motor

Design of inverted pendulum laboratory process

Model predictive control of vehicle dynamics

Robust Microgrid Control Using Tube Scaling Approach

Design of Control System for Two-Wheel Selfstabilizing Urban Vehicle

Development of Selfstabilizing Urban Vehicle Based on Gyroscopic Effect

Development of Android Based Human-Machine Interface for Supervision of Ball and Plate System

Automating of an adaptable fixing device for cyber physical production systems

Self-learning model predictive control based on the sequence of controllable sets

Optimal charging of valve-regulated lead-acid batteries based on model predictive control

Development of Inertia Wheel Inverted Pendulum System

Novi izazovi u teoriji i primjeni modelskog prediktivnog upravljanja

Selflearning Model Predictive Control Based on the Sequence of Controllable Sets

Design, modeling and parameter identification of a small unmanned aircraft

Visual feedback based control of inverted pendulum

Design of a laboratory ball and plate system using mechatronic design approach

Identification of DC motor parameters and PID controller synthesis based on relay feedback procedure

Control of longitudinal dynamics of a small unmanned aircraft base on linear quadratic controller

Modeling and control of DC motor with elastic coupling using frequency domain design methods

Flexible Lyapunov Function based Model Predictive Direct Current Control of Permanent Magnet Synchronous Generator

D2.4 Report on the developed approach to systematic uncertainty handling in economics- driven coordination for SoS control

D5.4 Final report on the validation of the management strategies for the case studies

DYMASOS Plenary meeting Nice presentation: Technical work in WP2

Water use disagregation in a household based on signal processing from a smart water meter

Current Reference Governor of Permanent Magnet Synchronous Machine

Predictive control of a permanent magnet synchronous motor based on fast gradient method

Current and speed control of a DC motor with an elastic coupling

Real-time control based on Xenomai/Linux operating system

Linear parameter-varying model based control of 3D crane

Stochastic Model Predictive Control for Optimal Economic Operation of a Residential DC Microgrid

Very short-term prediction of wind farm power production with Deep Neural Networks

Estimation of VRLA Battery States and Parameters using Sigma-point Kalman Filter

Stabilizing Model Predictive Control of a Gantry Crane Based on Flexible Set-Membership Constraints

Reference Governor in Control of a Tower Crane Based on Control Invariant Sets

Constrained Reference Tracking based on Homothetic Sets

Stochastic Model Predictive Control for Building HVAC Systems: Complexity and Conservatism

Control of 3D Tower Crane based on Tensor Product Transformation with Neural Friction Compensation

Development of a computer program for short-term hourly electric power load and loss forecasting for distribution areas

DYMASOS Plenary meeting Aachen presentation: Technical work in WP2 and WP5

Stabilizing Model Predictive Control Based on Flexible Set-Membership Constraints

Minimum Loss Control of Interior Permanent Magnet Traction Motor

Deep neural networks for ultra-short-term wind forecasting

Probabilistic very short-term wind farm power forecasts based on varying-coefficient models: A case study of onshore wind farm Danilo

Predictor-Corrector Method for Weather Forecast Improvement using Local Measurements

D2.2 Report on algorithms for dynamic reconfiguration applied to economics-based coordination in SoS

Nonlinear predictive control of a tower crane using reference shaping approach

Neural-network-based ultra-short-term wind forecasting

Design of Vector Control System for Permanent Magnet Synchronous Motor using Rapid Prototyping Tools.

Internet based remote process control and supervision using Arduino/PcDuino embedded computer system

Implementation of the relay-based PID tuning method on Arduino/PcDuino embedded computer system.

Real-time predictive control of 3D tower crane

Dynamic day-ahead water pricing based on smart metering and demand prediction

Application of rapid prototyping on design vector control permanent magnet synchronous motor

Tensor Product Transformation based Control and Sway Angle Observer Design of Rotary Crane

Mechatronic Design and Control of Rotay Fexible Joint

Scenario-based approach to stochastic linear predictive control

Autotuning Power System Stabilizer based on Fuzzy Plant Model

Design of a mechanical assembly for investigation of elasticity effects in mechatronic systems

Implemetation of the inverted pendulum control algorithm in TMS320 F2808 microcontroller

TP transformation based control of rotary pendulum

Linear Matrix Inequalities Based H∞ Control of Gantry Crane using Tensor Product Transformation

Mathematical models for short-term prediction of hourly electrical energy consumption for distribution areas

DESIGN OF MECHANICAL ASSEMBLY FOR INVESTIGATION OF BACKLASH EFFECTS IN MECHATRONIC SYSTEMS

APPLICATION OF DUAL KALMAN FILTER FOR SIMULTANEOUS STATE AND PARAMETER ESTIMATION OF THE THREE-MASS ELECTROMECHANICAL SYSTEM.

Implementation aspects of control algorithms in finite precision arithmetic.

Active suspension control systems in vehicles

Tensor Product Based Control of the Single Pendulum Gantry Process with Stable Neural Network Based Friction Compensation

Control of a single pendulum gantry with friction compensation

Tensor Product Transformation based Speed Control of Permanent Magnet Synchronous Motor Drives

Longitudinal dynamics control system in vehicles

UPRAVLJANJE POZICIJOM TROMASENOG ELEKTROMEHANIČKOG SUSTAVA

Power System stabilizer based on fuzzy model and linear matrix inequalities

Designing stabilizer for inverted pendulum by applying root locus method

A Takagi-Sugeno Fuzzy Model of Synchronous Generator Unit for Power System Stability Application

Inverse control of a single pendulum Gantry based on neural networks

Neural control based on instantaneous linearization

Samopodesivi stabilizator elektroenergetskog sustava zasnovan na neizrazitom modelu

Neural Network-based Friction Compensation for Gantry Crane Control System

Swinging angle estimation of crane with a suspended pendulum using Kalman filter

Friction compensation of gantry crane model based on the B-spline neural compensator

The Control System Design of a Gantry Crane Based on H∞ Control Theory

Forecasting daily electric energy consumption using neural networks

Sway angle estimation in a single pendulum gantry process using extended Luenberger observer

Neuronal mathematical model for predicting gas consumption

Application of the Matlab software package for technical problems solving

Experimental Investigations and Modeling of the Rubber-Asphalt Sliding Pair Dynamics

A Takagi-Sugeno Fuzzy Model of Synchronous generators

State estimation of nonlinear dynamic systems with uncertainties

Neural network based tire/road friction force estimation

Discussion on: "Adaptive and Predictive Path Tracking Control for Off-road Mobile Robots"

Vehicle Dynamics Control System

Application of Dual Kalman filter to State and Parameter Estimation

Implementation of neural network - based controler in discrete-time state space

Servosystems - Selected papers

Wheel slip control between vehicle tire and road

Tire/Road Friction Force Estimation in Automotive Control Systems

Road condition estimation based on the tire vibration model- preliminary analysis

Modelling of processes and estimation of states in Tire/Road contact surface

Application of Extended Kalman Filter for Road Condition Estimation

Application of the RBF neural network for tire-road friction estimation

Parametrization of the LuGre Tire/Road friction model

Experimental investigations of the rubber-asphalt sliding pair dynamics

Application of extended Kalman filter for road condition estimation

Application of the extended Kalman filter for road condition estimation

Application of dynamic neural networks in identification and control systems

Process Identification - Project Asignment Instructions