Solving optimal control problems with state constraints using nonlinear programming and simulation toolsBecerra, V. M. (2004) Solving optimal control problems with state constraints using nonlinear programming and simulation tools. IEEE Transactions on Education, 47 (3). pp. 377-384. ISSN 0018-9359 Full text not archived in this repository. It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing. To link to this item DOI: 10.1109/te.2004.825925 Abstract/SummaryThis 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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