A Special Issue of Intelligent Automation and Soft Computing
Lizhong Xu, Xiaofang Li, Simon X. Yang · Intelligent Automation & Soft Computing · 2011
This special issue is devoted to new activities in intelligent information processing and system stimulation, while the focus is on theoretical and practical problems.The goal of this special issue is to provide an overview of the state of the art in this important field, and to collect significant research results about its new developments.The special issue contains 15 papers.These papers use a variety of techniques for intelligent computing and system optimization.There are various possible ways in which these papers can be grouped.We have organized them according to the kind of techniques and principles that are used for optimization of systems, simulation of complex systems, and image processing and analysis.Among the 15 papers, four papers are about system optimization.The paper by J. Wang et al. presented a method to control the end-effector of a redundant manipulator tracking the surface closely with the assistance of tactile sensing, which is based on the idea of hybrid impedance control method.A 5-DOF redundant manipulator equipped with force/torque and tactile sensors is applied to test the proposed algorithm.G. Tan et al. proposed a robust H-infinity control method for three-phase PWM rectifier.An improved PSO algorithm was proposed in this paper by bringing the ideas of SA algorithm and chaotic search into the PSO algorithm.This improved PSO algorithm is used to optimize the parameters of the proposed controller.W. Pan et al. used a back-propagation neural network to accurately predict tobacco growth under various climatic and