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.
Optimization and multistage systems. The thawing case
Pippia E.;Bozzato A.;Policriti A.
2020-01-01
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.File in questo prodotto:
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