Optimization methods in solution of applied on-line control problems in nonstationary conditions

The paper suggests methods for solution of on-line control optimization problems in nonstationary conditions and in the presence of noise. The goal function and constraints are assumed to vary with time. Applications to inventory control and optimization of a chemical process are described.