Dear Colleagues,

Many computational intelligence and learning methods, including expert systems, fuzzy control, neural networks, genetic algorithm, artificial immune networks, swarm particle techniques, ACO, reinforcement learning, etc., have gained successful applications in many control automation fields. Intelligent Control, which is distinguished from conventional approaches since it is historically based on methodologies borrowed from Artificial Intelligence, mainly Soft Computing techniques, has been proved able to cope with problems – especially industrial ones and more recently, related to renewable energy and mobile robotics systems – where conventional methods were reputed less efficient or unsuccessful. In recent years, a trend has emerged in which techniques of computational intelligence, learning control and automation have been integrated into intelligent control or automation systems on a variety of scales to meet the needs of implementation at the angle of products.

This Special Issue is devoted to all topics related to intelligent control and its applications, including (but not limited to) the following subjects:

Intelligent Control: fuzzy control, neuro-control, neuro-fuzzy, intelligent-PID control, hybrid techniques, etc.
Optimization by heuristic techniques in system engineering and control
Modelling and identification by Intelligent Techniques
Engineering applications of Intelligent Computation
Applications in industry and energy system.
Other related topics