Distributed Fault Diagnosis (FDI, DX), Distributed Fault-Tolerant & Reconfigurable Control, Cyber Secure & Resilient Control
Advanced Learning and Optimization methods
Combined machine and deep learning & model-based approaches
Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Reinforcement Learning (RL) algorithms, and Distributed and Parallel Computing Methods
MODELLING, CONTROL AND SUPERVISION OF COMPLEX SYSTEMS
Dynamic modeling and paremeter identification
Real-time monitoring and control
Non-linear and large-scale systems
Fault-tolerant control (active, passive, MPC)
ENGINES - Gas Turbine, Automotive Engine
Large-scale PROCESS PLANTS
Control and integration of renewable energy sources
Energy distribution and efficiency
Enviromental impact
Operation of critical infrastructure systems
POWER GENERATION (DPG/Converters)
Large-scale (building) HVAC
INDUSTRIAL COOLING SYSTEMS
WATER CYCLE CONTROL SYSTEMS
DRINKING WATER NETWORKS, IRRIGATION SYSTEMS
SAFE CONTROL OF AUTONOMOUS VEHICLES
- Integration of safety and cybersecurity mechanisms
- Demand Response, Scheduling, Peak Load
- Battery Storage Systems (BESS) / (EV) Charging, etc.
- Optimal/Dynamic Dispatch
- System/Control Reconfiguration
- Predictive (Distributed) Fault Diagnosis: Detection, Isolation, and Identification;
- Sensor and System (process/actuator) Faults
- Prognosis and Heath Monitoring (PHM);
- Machinery Performance Assessment/Anomaly Detection
- Leak-Outage Detection, Estimation, Localization in Distribution Networks
Cyber Secure-Resilient Networked Control Systems;
- Cooperative - Distributed/Decentralized MPC Approaches
Security of Consensus- Distributed Control of (Heterogeneous) Networks/Multi-Agent Systems under the effect of faults and attacks;
model changes, uncertain parameters or couplings
Distributed Attack/Intrusion Detection, Identification;
- Analytic and Learning Detection Strategies; Deception (Replay) attacks, etc.
AUTONOMOUS VEHICLES
PROCESS SYSTEMS: WATER, ENERGY, PROCESS INDUSTRY, TRANSPORTATION, etc.