Design of Optimal Static Output Feedback Controllers for Linear Control Systems Subject to General Structural Constraints

This article considers the design of optimal static output feedback controllers with priori structural constraints for linear systems. The structural constraints impose individual elements of the feedback matrix to satisfy certain equality or inequality constraints. The barrier method is used to address an auxiliary minimization problem to attain an approximate solution to the original nonconvex constrained optimization problem. The Lagrange multiplier method is applied to derive necessary conditions for the optimal solution. An easy-to-implement algorithm based on the gradient descent method is developed to solve the auxiliary minimization problem, and the convergence of the algorithm is proven. The effectiveness of the proposed methodology is validated using two numerical examples.

Automated summary

This article discusses the design of optimal static output feedback controllers for linear systems with priori structural constraints. The barrier method and Lagrange multiplier method are used to derive an algorithm for solving this type of problem, and the convergence of the algorithm is proven. Numerical examples are provided to validate the effectiveness of the proposed methodology.