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UNF Graduate Theses and Dissertations
Academic – UNF – Computing; Parallel algorithms -- Testing; Orthogonalization methods -- Testing; Genetic algorithms -- Testing; Linear systems; Pole Placement; Genetic Algorithm; State Space; Orthogonal Mutation
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Improvements In Genetic Approach To Pole Placement In Linear State Space Systems Through Island Approach Pga With Orthogonal Mutation Vectors, Arnold Cassell
Improvements In Genetic Approach To Pole Placement In Linear State Space Systems Through Island Approach Pga With Orthogonal Mutation Vectors, Arnold Cassell
UNF Graduate Theses and Dissertations
This thesis describes a genetic approach for shaping the dynamic responses of linear state space systems through pole placement. This paper makes further comparisons between this approach and an island approach parallel genetic algorithm (PGA) which incorporates orthogonal mutation vectors to increase sub-population specialization and decrease convergence time.
Both approaches generate a gain vector K. The vector K is used in state feedback for altering the poles of the system so as to meet step response requirements such as settling time and percent overshoot. To obtain the gain vector K by the proposed genetic approaches, a pair of ideal, desired …