Optimal receding horizon control for finite deterministic systems with temporal logic constraints

Autor: Calin Belta, Maria Svorenova, Ivana Černá
Rok vydání: 2013
Předmět:
Zdroj: ACC
Scopus-Elsevier
Popis: In this paper, we develop a provably correct optimal control strategy for a finite deterministic transition system. By assuming that penalties with known probabilities of occurrence and dynamics can be sensed locally at the states of the system, we derive a receding horizon strategy that minimizes the expected average cumulative penalty incurred between two consecutive satisfactions of a desired property. At the same time, we guarantee the satisfaction of correctness specifications expressed as Linear Temporal Logic formulas. We illustrate the approach with a persistent surveillance robotics application.
Technical report accompanying the ACC 2013 paper
Databáze: OpenAIRE