Solve the General Constrained Optimal Control Problem with Common Integration Method
원문 초록
Computation of general state- and/or control-constrained Optimal Control Problems (OCPs) is difficult for various constraints, especially the intractable path constraint. For such problems, the theoretical convergence of numerical algorithms is usually not guaranteed, and the right solution may not be successfully obtained. With the recently proposed Variation Evolving Method (VEM), the evolution equations, which guarantee the convergence towards the optimal solution in theory even for the general constrained OCPs, are derived. In particular, the costate-free optimality conditions are established. Besides the analytic expressions of the costates and the Lagrange multipliers adjoining the terminal constraint, the integral equation that determines the Karush-Kuhn-Tucker (KKT) multiplier variable is also derived. Upon the work in this paper, the general constrained OCPs may be transformed to the Initial-value Problems (IVPs) to be solved, with common Ordinary Differential Equation (ODE) numerical integration methods.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
How Far Are We from Optimal Reasoning Efficiency?
A Dictionary of Closed-Form Kernel Mean Embeddings
Force-Free Molecular Dynamics Through Autoregressive Equivariant Networks
Underdamped Diffusion Bridges with Applications to Sampling
Provable Quantum Algorithm Advantage for Gaussian Process Quadrature
FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients
토론
이 논문과 연결된 포럼 글이 아직 없습니다.