Tightly Bounded Polynomials via Flexible Discretizations for Dynamic Optimization Problems

التفاصيل البيبلوغرافية
العنوان: Tightly Bounded Polynomials via Flexible Discretizations for Dynamic Optimization Problems
المؤلفون: Vila, Eduardo M. G., Kerrigan, Eric C.
سنة النشر: 2024
المجموعة: Computer Science
Mathematics
مصطلحات موضوعية: Mathematics - Optimization and Control, Electrical Engineering and Systems Science - Systems and Control
الوصف: Polynomials are widely used to represent the trajectories of states and/or inputs. It has been shown that a polynomial can be bounded by its coefficients, when expressed in the Bernstein basis. However, in general, the bounds provided by the Bernstein coefficients are not tight. We propose a method for obtaining numerical solutions to dynamic optimization problems, where a flexible discretization is used to achieve tight polynomial bounds. The proposed method is used to solve a constrained cart-pole swing-up optimal control problem. The flexible discretization eliminates the conservatism of the Bernstein bounds and enables a lower cost, in comparison with non-flexible discretizations. A theoretical result on obtaining tight polynomial bounds with a finite discretization is presented. In some applications with linear dynamics, the non-convexity introduced by the flexible discretization may be a drawback.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2403.07707
رقم الأكسشن: edsarx.2403.07707
قاعدة البيانات: arXiv