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Human (Hu) noroviruses (NoVs) circulate worldwide infecting people of all ages in developing and developed countries. Animal NoVs present some antigenic and genetic relationship to HuNoVs, although their zoonotic potential has not been established yet. Among animal NoVs, porcine (Po) NoVs are the most genetically related to HuNoVs. PoNoVs have only been detected in healthy finisher pigs in a few developed...
This paper presents two evolutionary schemes and a swarm intelligence algorithm for the design of combinational logic circuits. A genetic and a memetic schemes as the evolutionary algorithms. The particle swarm optimization as the swarm algorithm. The fitness function used in these three algorithms is sequential, that is, divided in two parts. The first part of the fitness function f1 evaluates the...
Particle swarm optimization (PSO) is a population-based search algorithm that is initialized with a population of random solutions, called particles. In a PSO scheme each particle flies through the search space with a velocity that is adjusted dynamically according with its historical behavior. Therefore, the particles have a tendency to fly towards the best search area along the search process. PSO...
This paper analyzes the dynamics and the implementation of fractional-order algorithms in the position/force control of two robots holding an object. The experiments reveal that fractional algorithms lead to performances superior to classical integer-order controllers.
The concept of differentiation and integration to non-integer order has its origins in the nineteen century. However, only in the second-half of the twenty century appeared the first applications related to the area of control theory. In this paper we consider the study of a heat diffusion system based on the application of the fractional calculus concepts. In this perspective, several control methodologies...
This paper presents the implementation of fractional-order algorithms both for hybrid and cascade position/force control of robotic manipulators. The system performance and robustness is analyzed in the time and frequency domains. The effects joint backlash and flexibility are also investigated
This paper presents several experiments with a genetic algorithm (GA) for designing combinational logic circuits. The study addresses the population size and the processing time for achieving a solution in order to establish a compromise between the two parameters. Furthermore, it is also investigated the use of different gate sets for designing the circuits namely RISC and CISC like gate sets
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