Abstract
In this paper, a time-inconsistent optimal control problem is studied for diffusion processes modulated by a continuous-time Markov chain. In the performance functional, the running cost and terminal cost depend on not only the initial time, but also the initial state of the Markov chain. By modifying the method of multi-person game, we obtain an equilibrium Hamilton- Jacobi-Bellman equation under proper conditions. The well-posedness of this equilibrium HJB Equation is studied in the case where the diffusion term is independent of the control variable. Furthermore, a time-inconsistent linearquadratic control problem is considered as a special case.
| Original language | English |
|---|---|
| Pages (from-to) | 585-622 |
| Number of pages | 38 |
| Journal | Mathematical Control and Related Fields |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| State | Published - Dec 2017 |
Keywords
- Equilibrium hamilton-jacobi-bellman equation
- Linear-quadratic control
- Multi-person game
- Regime-switching
- Time-inconsistence
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