3046 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, VOL. 59, NO. 8, AUGUST 2012 Introduction to the Special Section on Intelligent Systems I NDUSTRIAL electronics finds applications in many dif- ferent fields ranging from embedded systems and robot- ics to human–systems interactions, power systems, electrical drives, instrumentation, signal processing, motion control, sen- sors and actuators, communication, and many others. More recently, the intelligent techniques with artificial neural net- works as their leading methodology have been broadened by optimization and learning methodologies such as ant colony and particle swarm optimizations, support vector machines, and wavelets. It is our pleasure to present this “Special Section on Intelli- gent Systems” of the IEEE TRANSACTIONS ON I NDUSTRIAL ELECTRONICS, which reports on the latest advances and ideas of the worldwide research community in the fascinating field of intelligence. The Special Section was a great success resulting in 29 accepted manuscripts focusing on various aspects of adaptive and predictive control, robotics, intelligent control and fuzzy-neural monitoring, and object detection, recognition, and tracking. The control aspects of intelligent systems were the most represented in this Special Section. An interesting solution to fuzzy control systems was presented by Precup et al. in “Fuzzy Control Systems With Reduced Parametric Sensitivity Based on Simulated Annealing” where fuzzy control with reduced parametric sensitivity using simulated annealing was applied, and the angular position control of a dc servo system illus- trated the performance of the presented fuzzy system. Active reliable control issues for a class of second-order nonlinear uncertain systems using an integral-type sliding mode control strategy were addressed by Liang et al., and the implemen- tation of Takagi–Sugeno speed regulator was addressed by Choi et al. Predictive control was the focus of several manuscripts such as the control of a permanent-magnet synchronous motor with antiwindup compensator by Errouissi et al. and predictive control based on recurrent neural networks by Pan and Wang. Adaptive control was addressed in several manuscripts as well: an artificial immune-system-based control of generator excitation systems by Yan et al.; an adaptive fuzzy controller for multi-input single-output nonlinear systems by Xu and Shin; and adaptive fuzzy system for dynamics approximation of mobile agents by Ranjbar-Sahraei et al. Robotics applications varied from indoor mapping to track- ing control and teleoperation. Luo and Lai presented the study on indoor map construction. An approach to solving the in- verse kinematic problem of redundant robot manipulators was Digital Object Identifier 10.1109/TIE.2012.2188735 presented by Cai and Zhang, while detection and following of human legs through inductive approach was addressed by Chung et al. Partial least square for fault detection and isolation was given by Muradore and Fiorini. Robotic fish modeling was addressed by Wen et al., while trajectory planning was presented by Capisani and Ferrara. A very interesting appli- cation of body definition based on visuomotor correlation was presented by Saegusa et al. Bioinspired neurodynamics was presented by Yang et al., and an interesting problem of the accuracy of the parallel ro- botic manipulators and kinematic calibration was addressed by Zhang and Gao; the problem of target tracking was addressed by Wang and Gu. Patchaikani et al. utilized an adaptive critic design for kinematic control of redundant manipulator; robot vision systems were addressed by Chen et al. Other problems addressed were the problem of automatic as- sessment of spherical surface quality in object such as lustrous jewels by Chen et al. and impedance shaping on perception of soft tissues in macro–micro teleoperation by Son et al. Several manuscripts focusing on fuzzy-neural approaches represented object detection, such as adaptive neural-fuzzy approach to object recognition by Chacon-Murguia and Gonzalez-Duarte and pulse-coupled neural networks for image segmentation by Zhuang et al., and support vector machines were used by Juang and Chen. The remainder of the papers focused on monitoring, model- ing, and learning based on intelligent systems. Power quality evaluation via artificial neural networks was assessed by Chen, and frequency adaptive least squares Kalman technique was used by Sadinezhad and Agelidis. The artificial neural networks were used for friction compensation problem by Huang and Tan, and an interesting application of reinforcement learning on pedelec, a bicycle driven by a human with assisted force, was presented by Hsu et al. The Guest Editors would like to thank both the authors for their valuable contributions and the reviewers for their knowledgeable input, without which this Special Section would not have been possible. Last but not the least, we would like to thank Prof. M.-Y. Chow and Prof. B. M. Wilamowski, current and past Editors-in-Chief of the IEEE TRANSACTIONS ON I N- DUSTRIAL ELECTRONICS, for their kind guidance and support throughout the process. The Guest Editors would also like to thank S. McLain for her prompt assistance in administrative issues. MILOS MANIC, Guest Editor Department of Computer Science University of Idaho Idaho Falls Idaho Falls, ID 83402 USA 0278-0046/$31.00 © 2012 IEEE