Key Words: Generalized predictive controller; multi-objective optimization; constant step scanning; tuning parameters.
Abstract. A multi-objective and multi-parametric optimization problem with interval constraints, linear inequality constraints and constraints on the values of the objective functions is formulated to determination of the tuning parameters in generalized predictive controller design. Quality indicators of the desired control system are optimization objectives. The problem is solved by modified methods of constant step scanning. The tunable parameters optimization problem is transformed into a single-objective constraint problem by methods of the vector criterion scalarization.
