Analytic Programming In The Task Of Evolutionary Synthesis Of The Robust Controller For Selected Discrete Chaotic Systems
Abstract
This research deals with a utilization of a tool for symbolic regression, which is analytic programming, for the purpose of the synthesis of a new robust control law. This universal synthesized robust chaotic controller secures the fully stabilization of selected set of discrete chaotic systems. The paper consists of the descriptions of analytic programming as well as selected chaotic systems, used heuristic and cost function. For experimentation, Self-Organizing Migrating Algorithm (SOMA) and Differential evolution (DE) were used.
Metrics
Citation History
Topics
Related Documents
Utilization of analytic programming for the evolutionary synthesis of the robust multi-chaotic controller for selected sets of discrete chaotic systems
Roman ŠenkeříkZuzana Komínková OplatkováIvan ZelinkaBronislav ChramcovDonald DavendraMichal Pluháček
Analytic programming in the task of evolutionary synthesis of a controller for high order oscillations stabilization of discrete chaotic systems
Zuzana Komínková OplatkováRoman ŠenkeříkIvan ZelinkaMichal Pluháček
Utilization of Analytic Programming for Evolutionary Synthesis of the Robust Controller for Set of Chaotic Systems
Roman ŠenkeříkZuzana Komínková OplatkováIvan ZelinkaMichal Pluháček
Synthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: Analytic programming
Roman ŠenkeříkZuzana Komínková OplatkováIvan ZelinkaDonald Davendra
Analytic Programming—A New Tool for Synthesis of Controller for Discrete Chaotic Lozi Map
Roman ŠenkeříkZuzana Komínková OplatkováMichal PluháčekIvan Zelinka