In this issue of IEEE Control systems Magazine, Andy Packard and friends respond to a query on determining the region of attraction using sum-of-squares methods.
In this issue of IEEE Control systems Magazine, Andy Packard and friends respond to a query on determining the region of attraction using sum-of-squares methods.
Zirconia coated carbonyl iron particle-based magnetorheological fluid was developed for magnetorheological finishing. Particles were coated via sol-gel synthesis. Spot polishing tests were performed over 3 weeks with ...
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Meta-heuristics are efficient techniques for solving large scale optimization problems in which traditional mathematical techniques are impractical or provide suboptimal solutions. The Shuffled Frog Leaping algorithm ...
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Meta-heuristics are efficient techniques for solving large scale optimization problems in which traditional mathematical techniques are impractical or provide suboptimal solutions. The Shuffled Frog Leaping algorithm (SFLA) is a stochastic iterative method, bio-inspired on the memetic evolution of a group of frogs when seeking for food, which combines the social behavior-based of the particle swarm optimization technique (PSO) and the global information exchange of memetic algorithms. However, the SFLA algorithm suffers on large execution times, being this problem clearly evident when solving complex optimization problems for embedded applications. This drawback can be overcome by exploiting the parallel capabilities of the SFLA. This paper proposes a hardware parallel implementation of the SFLA algorithm (HPSFLA) using FPGAs (Field programmable gate Arrays) and the efficient floating-point arithmetic. The proposed architecture allows the SFLA to improve the functionality of the algorithm as well as to decrease the execution times by implementing parallel frogs and parallel memeplexes. Three well-known benchmark problems have been used to validate the implemented algorithm and simulation results demonstrate that the HPSFLA speeds-up by factors of 362, 727 and 211 a C-code implementation using an embedded microprocessor for the Sphere, Rastrigin and Rosenbrock benchmarks problems, respectively. Synthesis, simulation and execution time results demonstrate the effectiveness of the proposed HPSFLA architecture for embedded optimization systems.
New utilization of rice hull, which is one of the agricultural by-products in Japan, is required to use as an industrial resource from a viewpoint of recycling. The rice hull silica carbon (RHS carbon) material is man...
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Patient-specific nonlinear finite element analysis (FEA) is promising for evaluating the recovery of vertebral strength. Vertebral strength is closely related to inner vertebral stress distribution and is used to asse...
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In this study, we proposed the collision observer for real-time detection of collisions between service robot and unknown obstacle. In case of a mobile equipped extra manipulator such as a service robot the safety of ...
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作者：
Lu, Y.Ye, L.Wang, D.Wang, X.Su, Z.
School of Aerospace Mechanical and Mechatronic Engineering University of Sydney NSW2006 Australia Urban Systems Program
CSIRO Sustainable Ecosystems Commonwealth Scientific and Industrial Research Organisation 37 Graham Road Highett MelbourneVIC3190 Australia Department of Mechanical Engineering
Hong Kong Polytechnic University Hong Kong Hong Kong
Identification of multiple notches in an aluminium plate was investigated with the aid of probability-based imaging evaluation of Lamb wave signals activated and captured by a piezoelectric sensor network. A signal pr...
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ISBN:
(纸本)9781605950075
Identification of multiple notches in an aluminium plate was investigated with the aid of probability-based imaging evaluation of Lamb wave signals activated and captured by a piezoelectric sensor network. A signal processing algorithm featuring signal synchronization and correlation is proposed to facilitate the extraction of damage-scattered waves, by the means of which the corresponding arrival times of the scattered waves are obtained. Using a virtually-meshed grid in the plate, an image with respect to the probability of the arrival time at individual nodes is achieved, indicating the location of damage as perceived by individual actuator-sensor paths. Compromised and conjunctive data fusion techniques are applied to aggregate the images for all engaged actuator-sensor paths, to provide a complete appraisal of the location of damage. The diagnostic results demonstrate that the proposed approach is capable of identifying multiple notches with good accuracy in terms of their position.
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