Reduction of Losses in Electric Power Distribution System - Dynamic Reconfiguration Case Study
Nonlinear Predictive Torque Vectoring with Brake Blending for Electric Road Vehicles
Set-based fast gradient projection algorithm for model predictive control of grid-tied power converters
Predictive Direct Yaw Moment Control Based on the Koopman Operator
Higher-Level Experimental Prototype of a Control Device for Dynamic Beverage-Cooling Process
FPGA Implementation of Set-based Model Predictive Control
Modelling and experimental verification of device with a submerged evaporator for beer cooling
Predictive approach to torque vectoring based on the Koopman operator
Control of flooded evaporator in a beer dispenser unit
Model predictive control of vehicle dynamics based on the Koopman operator with extended dynamic mode decomposition
Piece-wise ellipsoidal set-based model predictive control of linear parameter varying systems with application to a tower crane
Sliding Mode Observers Combined with Locked Loop Techniques for Sensorless Vector Controlled Synchronous Reluctance Machines
Analysis of FPGA Implementation of Set-based Predictive Control for Grid-tied Inverters
Computationally Efficient Set-based Predictive Control for Grid-tied Inverters
Set-based Predictive Control of a Grid-tied Inverter with LCL filter Under Variable Grid Inductance Conditions
Predictive lane-keeping system for an autonomous vehicle
Sliding Mode Control of Custom Built Rotary Inverted Pendulum
Successive Linearization Based Predictive Vehicle Torque Vectoring
Predictive Torque Vectoring Vehicle Control Based on a Linear Time Varying Model
Constrained field-oriented control of permanent magnet synchronous machine with field-weakening utilizing a reference governor
Field Oriented Control of brushless DC motor
Analysis and comparison of techniques for electrical quantities phasor estimation
Development of Human-Machine Interface for self-stabilizing city vehicle based on gyroscopic effect
Design of inverted pendulum laboratory process
Model Predictive Direct Current Control of Permanent Magnet Synchronous Generator based on Flexible Lyapunov Function Considering Converter Dead Time
Hybrid CCS/FCS Model Predictive Current Control of a Grid Connected Two-Level Converter
Sequential distributed predictive control of a 3D tower crane
Development of a Global Vision System for Testing of Control Systems for Unmanned Aerial Vehicles
Control of Electric Power Steering System
Model predictive control of vehicle dynamics
Design of an electronic device for speed control of a brushless DC motor
Design of a Path Tracking Controller for Unmanned Aerial Vehicle in Global Vision System
Development of Android Based Human-Machine Interface for Supervision of Ball and Plate System
New Challenges in Theory and Practice of Model Predictive Control
Robust Microgrid Control Using Tube Scaling Approach
Optimal charging of valve-regulated lead-acid batteries based on model predictive control
Design of Control System for Two-Wheel Selfstabilizing Urban Vehicle
Selflearning Model Predictive Control Based on the Sequence of Controllable Sets
Self-learning model predictive control based on the sequence of controllable sets
Automating of an adaptable fixing device for cyber physical production systems
Development of Selfstabilizing Urban Vehicle Based on Gyroscopic Effect
Development of Inertia Wheel Inverted Pendulum System
Current Reference Governor of Permanent Magnet Synchronous Machine
Design, modeling and parameter identification of a small unmanned aircraft
Flexible Lyapunov Function based Model Predictive Direct Current Control of Permanent Magnet Synchronous Generator
DYMASOS Plenary meeting Nice presentation: Technical work in WP2
Modeling and control of DC motor with elastic coupling using frequency domain design methods
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
Design of a laboratory ball and plate system using mechatronic design approach
Visual feedback based control of inverted pendulum
Current and speed control of a DC motor with an elastic coupling
Water use disagregation in a household based on signal processing from a smart water meter
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
Predictive control of a permanent magnet synchronous motor based on fast gradient method
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
Real-time control based on Xenomai/Linux operating system
D2.2 Report on algorithms for dynamic reconfiguration applied to economics-based coordination in SoS
Reference Governor in Control of a Tower Crane Based on Control Invariant Sets
Stabilizing Model Predictive Control of a Gantry Crane Based on Flexible Set-Membership Constraints
Deep neural networks for ultra-short-term wind forecasting
Minimum Loss Control of Interior Permanent Magnet Traction Motor
Constrained Reference Tracking based on Homothetic Sets
Linear parameter-varying model based control of 3D crane
Stochastic Model Predictive Control for Building HVAC Systems: Complexity and Conservatism
Stabilizing Model Predictive Control Based on Flexible Set-Membership Constraints
DYMASOS Plenary meeting Aachen presentation: Technical work in WP2 and WP5
Probabilistic very short-term wind farm power forecasts based on varying-coefficient models: A case study of onshore wind farm Danilo
Stochastic Model Predictive Control for Optimal Economic Operation of a Residential DC Microgrid
Predictor-Corrector Method for Weather Forecast Improvement using Local Measurements
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
Dynamic day-ahead water pricing based on smart metering and demand prediction
Real-time predictive control of 3D tower crane
Implementation of the relay-based PID tuning method on Arduino/PcDuino embedded computer system.
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
Nonlinear predictive control of a tower crane using reference shaping approach
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
Autotuning Power System Stabilizer based on Fuzzy Plant Model
Scenario-based approach to stochastic linear predictive control
Active suspension control systems in vehicles
Design of a mechanical assembly for investigation of elasticity effects in mechatronic systems
Tensor Product Based Control of the Single Pendulum Gantry Process with Stable Neural Network Based Friction Compensation
TP transformation based control of rotary pendulum
APPLICATION OF DUAL KALMAN FILTER FOR SIMULTANEOUS STATE AND PARAMETER ESTIMATION OF THE THREE-MASS ELECTROMECHANICAL SYSTEM.
Longitudinal dynamics control system in vehicles
Implemetation of the inverted pendulum control algorithm in TMS320 F2808 microcontroller
Control of a single pendulum gantry with friction compensation
Tensor Product Transformation based Speed Control of Permanent Magnet Synchronous Motor Drives
Implementation aspects of control algorithms in finite precision arithmetic.
Linear Matrix Inequalities Based H∞ Control of Gantry Crane using Tensor Product Transformation
DESIGN OF MECHANICAL ASSEMBLY FOR INVESTIGATION OF BACKLASH EFFECTS IN MECHATRONIC SYSTEMS
Mathematical models for short-term prediction of hourly electrical energy consumption for distribution areas
Power System stabilizer based on fuzzy model and linear matrix inequalities
POSITION CONTROL OF THREE-MASS ELECTROMECHANICAL SYSTEM
Neuronal mathematical model for predicting gas consumption
Auto-tuning power system stabilizer based on fuzzy model
Swinging angle estimation of crane with a suspended pendulum using Kalman filter
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
Friction compensation of gantry crane model based on the B-spline neural compensator
Neural Network-based Friction Compensation for Gantry Crane Control System
Sway angle estimation in a single pendulum gantry process using extended Luenberger observer
Neural control based on instantaneous linearization
The Control System Design of a Gantry Crane Based on H∞ Control Theory
Application of the Matlab software package for technical problems solving
Forecasting daily electric energy consumption using neural networks
Designing stabilizer for inverted pendulum by applying root locus method
A Takagi-Sugeno Fuzzy Model of Synchronous generators
Experimental Investigations and Modeling of the Rubber-Asphalt Sliding Pair Dynamics
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
Servosystems - Selected papers
Implementation of neural network - based controler in discrete-time state space
Wheel slip control between vehicle tire and road
Tire/Road Friction Force Estimation in Automotive Control Systems
Parametrization of the LuGre Tire/Road friction model
Modelling of processes and estimation of states in Tire/Road contact surface
Application of the RBF neural network for tire-road friction estimation
Application of Extended Kalman Filter for Road Condition Estimation
Road condition estimation based on the tire vibration model- preliminary analysis
Experimental investigations of the rubber-asphalt sliding pair dynamics
Application of the extended Kalman filter for road condition estimation
Application of extended Kalman filter for road condition estimation
Application of dynamic neural networks in identification and control systems
Process Identification - Project Asignment Instructions
Teaching
University undergraduate
- Fundamentals of Mechatronics (Lecturer in charge)
- Fundamentals of Mechatronics (Lecturer in charge)
- Fundamentals of Mechatronics (Lecturer in charge)
- BSc Thesis (Lecturers)
- Final BSc Project (Lecturers)
- Project (Lecturers)
- Project (Lecturers)
- Project C (Lecturers)
- Project E (Lecturers)
University graduate
- Applied Optimal Control (Lecturer in charge)
- Control of Electromechanical Systems (Lecturer in charge)
- Control Techniques in Mechatronics (Lecturer in charge)
- Laboratory of Control Engineering and Automation 1 (Lecturer in charge)
- Mechatronic System Design (Lecturer in charge)
- Vehicle Dynamics and Control (Lecturer in charge)
- Graduation Thesis (Lecturers)
- Project (Lecturers)
- Project (Lecturers)
- Project (Lecturers)
- Project (Lecturers)
- Seminar 1 (Lecturers)
- Seminar 2 (Lecturers)
Postgraduate doctoral study programme
- Control of Electromechanical Systems (Lecturer in charge)
- Intelligent Systems in Industrial Plants (Lecturer in charge)
Competences
-
Computational and artificial intelligence
Cooperative systems Fuzzy systems Fuzzy logic Neural networks -
Control systems
Automatic control Centralized control Closed loop systems Control design Control engineering Control equipment Control system synthesis Controllability Cruise control Decentralized control Delay systems Digital control Feedback Feedback linearization Linear feedback control systems Optimal control PD control PI control Sensorless control Sliding mode control -
Electron devices
Mechatronics Microelectromechanical systems -
Industrial electronics
Predictive control