Feed Forward Robust Control Synthesis by Discrete Continuous Plant

The method of multiobjective feed forward nonlinear robust control synthesis by discrete continuous plants with parametric uncertainty is developed. Synthesis of feed forward nonlinear robust controllers and nonlinear robust observers reduces to solving the Hamilton-Jacobi-Isaacs equations. Robust control target vector is determined by solving the multiobjective nonlinear programming problem in which the components of the objective function vector are direct quality indicators that are imposed to the system in various modes of its operation. The calculation of the objective function vector and constraints are algorithmic and reduces to modeling of the system with nonlinear robust controllers for various modes of the system operation with different input signals and for various values of the plant parameters. The results of the dynamic characteristics modeling of a synthesized nonlinear electromechanical servo system are present.