HJB-solver
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Numerical solution of Hamilton Jacobi Bellman equations
HJB-solver
Numerical tool to solve linear Hamilton Jacobi Bellman Equations. I.e. an equation of the form
It is assumed that the space and the control space are one dimenional.
The most important functions
Function | Description |
---|---|
I=reachableset(x,U,h,Psi,f0Psi,FPsi,f0,F) |
calculates discrete reachable sets. Note that this function does not depend on g . |
[Xi,v]=HJB( t0,T,N,M1,M2,f0,F,g,U,Omega0) |
Main function: Returns a Matrix of node Values and the corresponding values of v. |
v=optimization(Xi,vXi,I,i,j) |
Performs one step assuming the reachable set I has already been calculated. |
Arguments for the main function
Argument | Description | Example |
---|---|---|
t0 | start of timehorizon | 0 |
T | end of timehorizon | 1 |
N | Number of time steps | 10 |
M1, M2 | Number of space steps | 10 |
f0 | affine part of the RHS | @(t,x) x |
F | linear part of the RHS | @(t,x) sin(x) |
g | Boundary value function | @(t,x) t*exp(x) |
U | Control set | [1, 5] |
Omega0 | initial set | [2, 7] |