Numerical approximation of nonconvex optimal control problems defined by parabolic equations |
| |
Authors: | I. Chryssoverghi |
| |
Affiliation: | (1) National Technical University, Athens, Greece |
| |
Abstract: | In this paper, we consider an optimal control problem for distributed systems governed by parabolic equations. The state equations are nonlinear in the control variable; the constraints and the cost functional are generally nonconvex. Relaxed controls are used to prove existence and derive necessary conditions for optimality. To compute optimal controls, a descent method is applied to the resulting relaxed problem. A numerical method is also given for approximating a special class of relaxed controls, notably those obtained by the descent method. Convergence proofs are given for both methods, and a numerical example is provided. |
| |
Keywords: | Optimal control nonconvexity relaxed controls parabolic systems relaxed minimum principle approximations descent methods |
本文献已被 SpringerLink 等数据库收录! |
|