Symmetry and Asymmetry in Intelligent Control and Computing

Dear Colleagues,

Intelligent control and computing manage control and computing problems by leveraging intelligent algorithms such as neural networks, fuzzy systems, and evolutionary computation. While many studies on intelligent control and computing have been published in recent decades, efforts dedicated to solving symmetry and asymmetry issues in intelligent control and computing problems and methods have seldom been reported. In control problems, such as the kinematic or dynamic control of robot manipulators, input constraints can be symmetric or asymmetric, and asymmetric input constraints are often considered a challenging issue. In this Special Issue, we aim to discuss the latest developments in addressing symmetry and asymmetry issues in intelligent control and computing problems and novel methods or algorithms for intelligent control and computing by leveraging symmetry and asymmetry.

Prof. Dr. Yinyan Zhang
Dr. Ameer Tamoor Khan
Guest Editors

Dr. Mohammed Aquil Mirza
Guest Editor Assistant

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