Intelligent Control (IC) is a class of control techniques that use various artificial intelligence computing approaches like neural networks, Bayesian probability, fuzzy logic, machine learning, evolutionary computation and genetic algorithms.
The ICE (Intelligent Control for ESA) International Round Table has the following main objectives:
- Objective 1 (WHERE): Provide for a survey of the current state of the art in intelligent control applied in industrial process (transportation, manufacturing, personal computing) and space missions in particular.
- Objective 2 (HOW): Investigate and assess new, efficient, and cost effective methods for the control of space systems by means of Intelligent Control IC techniques and technologies.
- Objective 3 (WHEN): To discuss the upcoming research and development opportunities for the ESA technology plans (TRP, GSTP) for the use of Intelligent Control IC in space missions.
The following topics are covered in the 1st ICE round table: Neural Networks control
Bayesian control, Fuzzy Logic control, Expert Systems and Artificial Intelligence, Genetic and Evolutionary control, lessons from Intelligent control for transportation systems, landscape of Intelligent control for manufacturing, personal assistants using intelligence, and Intelligent Control for space systems. Visit the Scientific Programme for more details.
