Hamilton-Jacobi-Bellman Equations : : Numerical Methods and Applications in Optimal Control / / ed. by Dante Kalise, Zhiping Rao, Karl Kunisch.

Optimal feedback control arises in different areas such as aerospace engineering, chemical processing, resource economics, etc. In this context, the application of dynamic programming techniques leads to the solution of fully nonlinear Hamilton-Jacobi-Bellman equations. This book presents the state...

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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus DeG Package 2018 Part 1
MitwirkendeR:
HerausgeberIn:
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2018]
©2018
Year of Publication:2018
Language:English
Series:Radon Series on Computational and Applied Mathematics , 21
Online Access:
Physical Description:1 online resource (XII, 197 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • List Of Contributing Authors
  • 1. From A Monotone Probabilistic Scheme To A Probabilistic Max-Plus Algorithm For Solving Hamilton–Jacobi–Bellman Equations
  • 2. Improving Policies For Hamilton–Jacobi–Bellman Equations By Postprocessing
  • 3. Viability Approach To Simulation Of An Adaptive Controller
  • 4. Galerkin Approximations For The Optimal Control Of Nonlinear Delay Differential Equations
  • 5. Efficient Higher Order Time Discretization Schemes For Hamilton–Jacobi–Bellman Equations Based On Diagonally Implicit Symplectic Runge–Kutta Methods
  • 6. Numerical Solution Of The Simple Monge–Ampère Equation With Nonconvex Dirichlet Data On Nonconvex Domains
  • 7. On The Notion Of Boundary Conditions In Comparison Principles For Viscosity Solutions
  • 8. Boundary Mesh Refinement For Semi-Lagrangian Schemes
  • 9. A Reduced Basis Method For The Hamilton–Jacobi–Bellman Equation Within The European Union Emission Trading Scheme
  • Index