- Intelligent Control Architectures and Methods
- Next generation intelligent control architectures and methods
- Multiagent based planning, control and intelligence
- Distributed/decentralized intelligent control
- Neural networks, fuzzy logic and genetic algorithms
- Swarm intelligence, learning and control
- Intelligent control of networked dynamic systems
- Intelligent control of wireless ad hoc and sensor networks
- Embedded intelligent control
- Biological learning control systems
- Machine learning
- Hybrid dynamical systems control, pattern discovery
- Distributed or decentralized control methods
- Probabilistic approaches, knowledge-based sensor fusion
- Distributed and embedded systems, large scale systems
- AI and expert systems, distributed intelligence
- Automatic Control and Systems Modeling
- System identification
- Optimization in control systems
- Optimal control
- Adaptive control
- Non-linear control
- Hybrid dynamical systems
- Petri nets
- Hierarchical control
- Discrete event systems
- Information-based models for control
- Distributed control systems
- System modeling, simulation and architectures
- Cybernetics
- Computer and microprocessor-based control
- Hierarchical control
- Instrumentation networks and software
- Field-buses
- Real-time systems control
- Environmental monitoring and control
- Time series and system modeling
- Time-frequency analysis
- Feature extraction
- Information-based models for control
- Discrete event systems
- Hybrid dynamical systems
- System identification
- Change detection problems
- Intelligent Control Systems
- Decision support systems
- Distributed control systems
- Expert systems for industry
- Intelligent fault detection and identification
- Knowledge-based systems applications
- Machine learning in control applications
- Hybrid learning systems
- Mechatronic systems
- Neural networks based control systems
- Optimization algorithms
- Software agents for intelligent control systems
- Soft computing
- Fuzzy control
- Genetic algorithms
- Intelligent control agents
- Evolutionary computation
- Biologically inspired control systems
- Automation, Instrumentation and Measurements
- Autonomous agents
- Petri nets (system design/verification with nets, protocols and networks)
- Industrial networks and automation
- Field-buses
- Real-time systems control
- Environmental monitoring and control
- Process control
- CAD, CAM, CAE
- Flexible manufacturing systems
- Web-based control