Testing techniques of optimization algorithms for nonlinear controlled dynamical systems

The paper deals with techniques of constructing optimal control problems and testing optimization software for controlled dynamical systems. A test collection of nonconvex optimal control problems has been developed and used for studying the properties of optimization software. The description of the collection problems is made using the generated template, which includes the formulation of the problem statement, characteristics of the computational process and the obtained results, containing graphical visualizations of the reachable set and optimal controls with corresponding trajectories. Several testing techniques based on presented collection are proposed.