Solving optimal control problems with state constraints using nonlinear programming and simulation tools

V. M. Becerra

doi:10.1109/TE.2004.825925

Solving optimal control problems with state constraints using nonlinear programming and simulation tools

V. M. Becerra

Research output: Contribution to journal › Article › peer-review

Abstract

This paper illustrates how nonlinear programming and simulation tools, which are available in packages such as MATLAB and SIMULINK, can easily be used to solve optimal control problems with state- and/or input-dependent inequality constraints. The method presented is illustrated with a model of a single-link manipulator. The method is suitable to be taught to advanced undergraduate and Master's level students in control engineering.

Original language	English
Pages (from-to)	377-384
Number of pages	8
Journal	IEEE Transactions on Education
Volume	47
Issue number	3
DOIs	https://doi.org/10.1109/TE.2004.825925
Publication status	Published - 2004

Keywords

input constraints, nonlinear programming, optimal control, simulation, state constraints

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10.1109/TE.2004.825925

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title = "Solving optimal control problems with state constraints using nonlinear programming and simulation tools",

abstract = "This paper illustrates how nonlinear programming and simulation tools, which are available in packages such as MATLAB and SIMULINK, can easily be used to solve optimal control problems with state- and/or input-dependent inequality constraints. The method presented is illustrated with a model of a single-link manipulator. The method is suitable to be taught to advanced undergraduate and Master's level students in control engineering.",

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AB - This paper illustrates how nonlinear programming and simulation tools, which are available in packages such as MATLAB and SIMULINK, can easily be used to solve optimal control problems with state- and/or input-dependent inequality constraints. The method presented is illustrated with a model of a single-link manipulator. The method is suitable to be taught to advanced undergraduate and Master's level students in control engineering.

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DO - 10.1109/TE.2004.825925

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EP - 384

JO - IEEE Transactions on Education

JF - IEEE Transactions on Education

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ER -

Solving optimal control problems with state constraints using nonlinear programming and simulation tools

Abstract

Keywords

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