Optimal management and spatial patterns in a distributed shallow lake model
arXiv:1503.05438
Abstract
We present a numerical framework to treat infinite time horizon spatially distributed optimal control problems via the associated canonical system derived by Pontryagin's Maximum Principle. The basic idea is to consider the canonical system in two steps. First we perform a bifurcation analysis of canonical steady states using the continuation and bifurcation package pde2path, yielding a number of so called flat and patterned canonical steady states. In a second step we link pde2path to the two point boundary value problem solver TOM to study time dependent canonical paths to steady states having the so called saddle point property. As an example we consider a shallow lake model with diffusion.
updated, and some typos fixed, removed "Scenario 2"
References in corpus (1)
Cited by in corpus (4)
- User guide on Hopf bifurcation and time periodic orbits with pde2path
- Infinite time horizon spatially distributed optimal control problems with pde2path algorithms and tutorial examples
- The pde2path add-on toolbox p2pOC for solving infinite time-horizon spatially distributed optimal control problems - Quickstart Guide -
- Hopf bifurcation and time periodic orbits in reaction-diffusion systems with pde2path - algorithms and applications