Solves a series of benchmark problems for dynamic optimization
Example 1a - Nonlinear, unconstrained, minimize final state (CPU time = 0.036 sec)
Example 1b - Nonlinear, unconstrained, minimize final state with additional terminal constraint (CPU time = 0.080 sec)
Example 2 - Nonlinear, constrained, minimize final state (CPU time = 2.17 sec)
Example 3 - Tubular reactor with parallel reaction (CPU time = 0.073 sec)
Example 4 - Batch reactor with consective reactions A->B->C (CPU time = 0.095 sec)
Example 5 - Catalytic plug flow reactor with A->B->C (CPU time = 0.16 sec)
Publication: M. Čižniar, M. Fikar, M.A. Latifi: A MATLAB Package for Dynamic Optimisation of Processes, 7th International Scientific – Technical Conference – PROCESS CONTROL 2006, June 13 – 16, 2006, Kouty nad Desnou, Czech Republic.
Abstract: This paper describes a Matlab package for dynamic optimisation of processes called dynopt. The package dynopt searches for profiles of decision variables which optimise a given performance index under specified constraints. The method of orthogonal collocations on finite elements implemented within dynopt allows us to tackle problems described by ordinary differential equations (ODE's) and by differential-algebraic equations (DAE's) as well. Several case studies are successfully tested.
John Hedengren (2020). DynOpt Benchmarks: Dynamic Optimization Toolbox (https://www.mathworks.com/matlabcentral/fileexchange/50609-dynopt-benchmarks-dynamic-optimization-toolbox), MATLAB Central File Exchange. Retrieved .