Hamiltonian (control theory)
The Hamiltonian of optimal control theory was developed by Lev Pontryagin as part of his minimum principle. It was inspired by, but is distinct from, the Hamiltonian of classical mechanics. Pontryagin proved that a necessary condition for solving the optimal control problem is that the control should be chosen so as to minimize the Hamiltonian. For details see Pontryagin's minimum principle.
Notation and Problem statement
A control is to be chosen so as to minimize the objective function
where is the system state, which evolves according to the state equations
and the control must satisfy the constraints
Definition of the Hamiltonian
where is a vector of costate variables of the same dimension as the state variables .
For information on the properties of the Hamiltonian, see Pontryagin's minimum principle.
The Hamiltonian in discrete time
When the problem is formulated in discrete time, the Hamiltonian is defined as:
and the costate equations are
(Note that the discrete time Hamiltonian at time involves the costate variable at time  This small detail is essential so that when we differentiate with respect to we get a term involving on the right hand side of the costate equations. Using a wrong convention here can lead to incorrect results, i.e. a costate equation which is not a backwards difference equation).
The Hamiltonian of control compared to the Hamiltonian of mechanics
where is defined implicitly by
Hamilton then formulated his equations as
In contrast the Hamiltonian of control theory (as defined by Pontryagin) is a function of 4 variables
and the associated conditions for a maximum are
- I. M. Ross A Primer on Pontryagin's Principle in Optimal Control, Collegiate Publishers, 2009.
- Varaiya, Chapter 6
- Sussmann; Willems (June 1997). "300 Years of Optimal Control" (PDF). IEEE Control Systems.