International Conference on Intelligent Control, Robotics and Automation

• • 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