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Optimization and multistage systems. The thawing case

Pippia E.
•
Bozzato A.
•
Tiberi E.
altro
Policriti A.
2020
  • conference object

Abstract
Multistage systems are systems characterized by n stages, where each stage has a precise parametric evolution law. We propose a procedure to reduce the optimal parameter synthesis on a multistage system to the optimal control design on an automaton with a DAG structure that we will call multistage automaton. We describe the procedure using a thawing system as a case study. We address the optimization problem as a reachability problem and we use backtrack strategy to obtain a feasible solution in the linear case.
Archivio
http://hdl.handle.net/11390/1178483
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85082120594
Diritti
metadata only access
Soggetti
  • Backtraking

  • Cyber-physical system...

  • Hybrid Automata

  • Optimal Parameter Syn...

  • Reachability

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