Paper Info

Title | ||
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Quasi-Optimal Trajectories Yielded By Metaheuristic Based Algorithms Used In Closed-Loop |

Abstract | ||
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A stand-alone metaheuristic based algorithm can solve a specific optimal control problem. The result is a quasi-optimal solution that is a sequence of values assigned to control inputs over the control horizon. However, this solution can be used only by an open-loop system. This paper proposes a method to achieve a closed-loop control structure able to control the dynamic system optimally, using the quasi-optimal state trajectory constructed through the metaheuristic based algorithm. |

Year | DOI | Venue |
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2020 | 10.1109/ICSTCC50638.2020.9259774 | 2020 24TH INTERNATIONAL CONFERENCE ON SYSTEM THEORY, CONTROL AND COMPUTING (ICSTCC) |

Keywords | DocType | ISSN |

metaheuristic based algorithm, optimal control, evolutionary algorithm, simulated annealing, simulation | Conference | 2372-1618 |

Citations | PageRank | References |

0 | 0.34 | 0 |

Authors | ||

2 |

Authors (2 rows)

Cited by (0 rows)

References (0 rows)

Name | Order | Citations | PageRank |
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Viorel Mînzu | 1 | 2 | 2.43 |

Adrian Emanoil Serbencu | 2 | 0 | 2.03 |