Abstract | ||
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In the behavioral framework for continuous-time linear scalar systems, simple sufficient conditions for the solution of the minimum-time rest-to-rest feedforward constrained control problem are provided. The investigation of the time-optimal input–output pair reveals that the input or the output saturates on the assigned constraints at all times except for a set of zero measure. The resulting optimal input is composed of sequences of bang–bang functions and linear combinations of the modes associated to the zero dynamics. This signal behavior constitutes a generalized bang–bang control that can be fruitfully exploited for feedforward constrained regulation. Using discretization, an arbitrarily good approximation of the optimal generalized bang–bang control is found by solving a sequence of linear programming problems. Numerical examples are included. |
Year | DOI | Venue |
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2009 | 10.1016/j.automatica.2009.06.030 | San Diego, CA |
Keywords | Field | DocType |
linear combination,input–output constraints,optimal input,zero dynamic,linear programming,linear programming problem,optimal generalized bang-bang control,feedforward control,continuous-time linear scalar system,control problem,set-point constrained regulation,generalized bang-bang control,minimum-time rest-to-rest feedforward,minimum-time control,bang-bang function,generalized bang–bang control,linear systems,feedforward,regulation,input output,linear system,optimal control,bang bang control,linear program | Linear combination,Discretization,Mathematical optimization,Bang–bang control,Optimal control,Linear system,Control theory,Linear programming,Minimum time,Mathematics,Feed forward | Journal |
Volume | Issue | ISSN |
45 | 10 | Automatica |
ISBN | Citations | PageRank |
1-4244-0171-2 | 10 | 1.22 |
References | Authors | |
3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luca Consolini | 1 | 276 | 31.16 |
Aurelio Piazzi | 2 | 132 | 19.44 |