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This Technical Committee addresses classical and modern optimization methods used for solving optimal control problems (calculus of variations, dynamic programming, nonlinear programming, optimal control, differential games, evolutionary algorithms). Considers modeling for control optimization, large scale optimization problems, dynamic optimization problems, non-smooth and discontinuous problems, optimization under uncertainties including the theory of noise measurements, generalized solutions of Hamilton-Jacobi equations, control of partial differential equations, real-time control problems, control design for hybrid systems, singularities in optimization, Hamiltonian trajectories in mathematical economics. Includes elaboration of algorithms and software for optimization of industrial systems, modeling dynamics in problems of economics, engineering and technological sciences, environmental sciences, financial mathematics.