The conference focuses on theory, applications and developments in control related research fields, covered by the three CC3 Technical Committees. Computers for control considers a broad range of computer-based control systems, spanning from system architectures, inter-computer communications, man-machine interfaces for real-time distributed computer control systems to programmable logic controllers, Fieldbus and standards-based platforms and environments, etc. Computational intelligence in control focuses on all aspects of knowledge-based, fuzzy, neuro-fuzzy and neural (both artificial and biologically plausible) systems and evolutionary algorithms relevant to control, both theoretical and application driven. Control via communication networks encourages topics of computerized and telecommunication based automation systems, providing services to remote equipment. This addresses systems integrating methods of remote control, cooperative communication for remote applications, and remote sensor data acquisition.

Common CC3 topics

  • Modelling, design and implementation of real-time, distributed, intelligent embedded control systems
  • Validation, verification, testing, evaluation of embedded systems and applications
  • Safety, reliability, maintainability, security
  • Fault detection, fault tolerance
  • Re-configurable control
  • Modelling of the physical embedding systems
  • Man-machine interfaces for real-time distributed computer control systems

Computer control systems

  • Architectures for real-time, distributed, intelligent embedded control systems (e.g., special and dedicated processors, parallel processing, communication platforms, middleware, ASICs, etc.)
  • Real-time algorithms, scheduling, schedulability, temporal predictability, time analysis
  • Programming and programming platforms,
  • Logical design, physical design, and implementation of embedded computer systems
  • Cyber-physical systems
  • Model-driven engineering of computer-controlled systems
  • Multicore architectures
  • Inter-computer communications
  • Operating systems and middleware
  • Partitioned embedded systems
  • Virtualisation in embedded systems
  • Programmable logic controllers
  • Standards-based platforms and environments

Computational intelligence methods in modelling, systems identification and control

  • Search methods and decision-making: neural networks, evolutionary computing, fuzzy techniques (single or multiple objective);
  • Swarm Intelligence (e.g., ant colony, particle swarm, differential evolution, cultural algorithms)
  • Neurodynamic optimisation and adaptive dynamic programming
  • Biologically plausible neural networks, computational neuroscience, neurodynamics and regulatory networks
  • Brain computer interface and cognitive architectures
  • Neuroinformatics and bioinformatics
  • Hybrids of computational intelligence systems (e.g., neuro-fuzzy systems, neuro-genetic, etc.)
  • Intelligent systems and instrumentation: smart systems, sensors, actuators and distributed systems
  • Data fusion and data mining; Fault management, knowledge processing, and representation; Use of internet technology; Intelligent agents
  • Training and adaptation algorithms, Constructive algorithms, structures for computational intelligence, design methodologies
  • Emerging areas

Telematics: control via communication networks

  • Telecommunication-based automation
  • Remote data acquisition, control and servicing
  • Internet of things
  • Tele-presence, tele-maintenance
  • Tele-robotics
  • Tele-medicine
  • Tele-education
  • Traffic control systems
  • Smart energy grids
  • Spacecraft servicing

Applications, industrial projects, case studies, related topics

  • Applications of computer control systems, computational intelligence and telematics, including: process control, manufacturing, mechatronics, robotics and autonomous systems, power systems, energy management, intelligent house, environmental systems, medical and biomedical, biology, biotechnology, transport, aerospace, agriculture, economics and business systems
  • Efficiencies of embedded systems (power, size, performance,..)
  • Ubiquitous, pervasive systems, context aware systems, ambiental intelligence
  • Mobile embedded applications
  • Education in computer control systems