Optimal control theory is a branch of control theory that deals with finding a control for a dynamical system over a period of time such that an objective function is optimized. [1]

Near optimal, behaves like Newton. Far from optimal, much more efficient.

Optimal control is a condition of dynamic systems that satisfy design objectives. Optimal control is achieved with control laws that execute following defined optimality criteria.

This course studies basic optimization and the principles of optimal control. It considers deterministic and stochastic problems for both discrete and continuous systems.

Optimal control theory is a powerful tool in mathematical optimization that allows us to find control functions that optimize the trajectory of a PDE with respect to some payoff function.

Optimal control allows a control designer to specify the dynamic model and the desired outcomes, and the algorithm will compute an optimized control. This relieves some burden by letting the designer …

We introduce a maximization principle useful for characterizing an optimal control, and will later recognize this as a first instance of the Pontryagin Maximum Principle.

Apr 6, 2012 · Optimal control is the process of determining control and state trajectories for a dynamic system over a period of time to minimise a performance index. Optimal control is closely related in its …

Apr 13, 2025 · Optimal control theory deals with finding a control law for a dynamical system over a given period of time such that an objective function is optimized. This chapter starts with an overview …

Jan 11, 2012 · As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in …