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In this paper, we consider an optimization method inspired on the chemical reactions to find the gain constants involved in the tracking controller for the dynamic model of an unicycle autonomous mobile robot. The tracking controller integrates a kinematic and a torque controller based on fuzzy logic theory. The process of finding these constants was made previously using genetic algorithms. The aim...
In this paper, we apply an optimization method inspired on the chemical reactions to find the gain constants involved in the tracking controller for the dynamic model of an unicycle mobile robot. This tracking controller integrates a kinematic and a torque controller based on fuzzy logic theory. The search of these constants was made previously using genetic algorithms. The objective of this paper...
In this paper, we apply an optimization method inspired on the chemical reactions to find the gain constants involved in the tracking controller for the dynamic model of an unicycle mobile robot. This tracking controller integrates a kinematic and a torque controller based on fuzzy logic theory. The search of these constants was made previously using genetic algorithms. The objective of this paper...
Agent-based Modeling and Simulation (ABMS) is a new modeling paradigm and is one of the most exciting practical developments in modeling since the invention of relational database. ABMS promises to have far-reaching effects on the way that businesses use computers to support decision-making and researchers use electronic laboratories to support their research. The goals of this paper are to show how...
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