Dynamic modeling and paremeter identification
Real-time monitoring and control
Non-linear and large-scale systems
Fault-tolerant control (active, passive, MPC)
Control and integration of renewable energy sources
Energy distribution and efficiency
Enviromental impact
Operation of critical infrastructure systems
Modeling of drinking water networks, irrigation systems
Real-time monitoring and control
Real-time control of sewage systems
Control of wastewater treatment plants
Fault-tolerant control & Model predictive control (MPC)
Self-driving
Cooperative driving - Vision- Communication based- Traffic Safety
- Integration of safety and cybersecurity mechanisms
Advanced driver assistance system (ADAS), Dynamic Planning
Cyber Secure-Resilient Networked Control Systems;
Security of Consensus- Distributed Control of (Heterogeneous) Networks/Multi-Agent Systems under the effect of faults and attacks; model changes, uncertain parameters or couplings
AUTONOMOUS VEHICLES
PROCESS SYSTEMS: WATER, ENERGY, PROCESS INDUSTRY, TRANSPORTATION, etc.
Through the decentralization of control, DXON empowers industries to achieve higher reliability, flexibility, and efficiency. Our systems are designed to minimize single points of failure and enhance real-time decision-making through distributed intelligence.
By combining decentralized and hybrid architectures, DXON ensures robust system performance across multiple sectors—especially in environments where continuity and resilience are critical.
Our Flexible and Trusted Control System (FTCS) is perfectly suited for essential and high-priority applications such as wind farms, solar grids, autonomous driving, and industrial automation networks—where maintaining uptime and safety are top priorities.
By means of our flexible architecture, diverse systems like wind farms, solar panels, microgrids, storage facilities, and autonomous vehicles are seamlessly connected into a single integrated network. This integration ensures smooth communication among components through secure, scalable data protocols.
Our advanced AI algorithms predict faults, wear, and anomalies in real-time—enabling proactive decisions for maintenance, reconfiguration, and performance optimization. Predictability is key to ensuring system health and longevity, and our AI-driven approach provides the necessary insight to act before disruptions occur.
AI-based predictive maintenance analyzes real-time data to anticipate equipment failures even before they happen. It allows for timely interventions that reduce downtime, extend asset life, and cut maintenance costs.
FTCS is especially valuable in industries where uninterrupted operation is non-negotiable—such as renewable energy, manufacturing, utilities, aerospace, and autonomous vehicles. These intelligent systems self-detect faults, isolate them, and self-correct automatically, ensuring continuous operation without human intervention.
DXON’s architecture allows distributed or decentralized execution while maintaining centralized and/or distributed monitoring. This balance ensures efficient control, faster response times, and improved resilience across networked systems.
With over 20 years of experience in renewable energy integration, real-system validation, and AI-driven automation, DXON has collaborated across multiple sectors—ranging from utility and water management to autonomous vehicle systems. Our solutions are proven, reliable, and built for the future of smart energy.
The future of energy lies in smart automation and decentralized, intelligent systems. Partner with DXON to build scalable, secure, and sustainable control solutions that drive operational excellence and environmental responsibility.