EDITORIAL: SPECIAL ISSUE ON INTELLIGENT SYSTEMS AND LEARNING CONTROL

Weiyao Lan, Ben M. Chen, K.K. Tan

Keywords

Abstract

Intelligent systems and learning control have been an ac- tive research theme in many years. Many of the results in the field have been utilized to solve real-life problems in designing autonomous systems, such as unmanned aerial vehicles (UAVs) and aerospace systems. There were more than one-third of about 400 papers presented at the 10th IEEE International Conference on Control and Automation (IEEE ICCA, 2013), held in June 12–14, 2013, in Hangzhou, China, are directly or indirectly related to topics of intelligent systems and learning control. This motivated us to organize a special issue on intelligent systems and learning control. This special issue selected a set of high-quality papers from those presented in 14 sessions on intelligent systems and learning control at IEEE ICCA, 2013, which cover topics in advances in intelligent and learning control, advances in intelligent and mechatronics systems, fuzzy and neural systems, data-driven learning control, computational intelligence, autonomous unmanned systems, autonomous navigation and control for aerospace systems and UAVs. All the selected papers have been extensively revised and enhanced before submitting to Control and Intelligent Systems. After a rigorous peer review process, we have finally selected six papers from IEEE ICCA, 2013, and four regular submissions for this special issue. We highlight the key contribution of each article in the following. The manuscript by Geng et al. on cooperative task planning of multiple UAVs using a genetic algorithm addresses mission planning issues for guiding a group of UAVs to carry out a series of tasks, namely classification, attack and verification, against multiple targets. After modelling the solution space for task assignment and sequencing with a graph representation, the authors developed a genetic algorithm for finding the optimal solution from the graph to achieve completion of the three tasks on each target, the avoidance of flight prohibit zones, the low level of exposure to enemy radar detection and short overall flying path length.

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