Titlebook: Intelligent Control and Computer Engineering; Sio-Iong Ao,Oscar Castillo,Xu Huang Book 2011 Springer Science+Business Media B.V. 2011 Arti

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Intelligent Control of Reduced-Order Closed Quantum Computation Systems Using Neural Estimation andised neural computing to identify certain parameters of the transformed system matrix .. Linear matrix inequality (LMI) is then used to determine the permutation matrix [.] so that a complete system transformation . is achieved. The transformed model is then reduced using singular perturbation and s

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Optimal Guidance and Control for Space Robot Operation,te and to remove space debris since the work load to do these tasks by astronauts will be extremely heavy. Extensive studies have been done for the control of space robot. Unfortunately these studies have not incorporated the orbital motion which is essential for space robot. Coplanar motion between

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,The Application of Genetic Algorithms in Designing Fuzzy Logic Controllers for Plastic Extruders,ontrol in an extruder. The importance of FLC is during the process of selecting the membership functions. What is best to determine the membership functions is the first question that has be addressed. It is important therefore to select accurate membership functions but these methods possess one co

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The Use of Higher-Order Spectrum for Fault Quantification of Industrial Electric Motors,cation technique. Previous researches have shown that the faults in the stator or rotor generally show sideband frequencies around the main frequency (50 Hz) and its higher harmonics in the spectrum of the Motor Current Signature Analysis (MCSA). However in the present experimental studies such obse

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,A Newly Cooperative PSO – Multiple Particle Swarm Optimizers with Diversive Curiosity, MPSO,/DC,hree outstanding features: (1) Implementing plural particle swarms in parallel to explore; (2) Finding the most suitable solution in a small limited space by a localized random search for correcting the solution found by each particle swarm; (3) Introducing diversive curiosity into the multi-swarm t

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,Diversity-Driven Self-adaptation in Evolutionary Algorithms,ese nature-inspired stochastic search algorithms still depends on the suitability of their parameter settings with respect to specific optimization problems. The tuning of the parameters is a crucial task which concerns resolving the contrary goals of convergence and diversity. To address this issue

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,A New Rearrangement Plan for Freight Cars in a Train,ovements in order to line freights in the desired order is reflected by corresponding evaluation value for each pair of freight-layout and removal-destination at a freight yard. Evaluation values are obtained by the Q-Learning method. The best transfer scheduling can be derived by selecting the remo