For example, a Gauss–Newton-based decomposition algorithm has been proposed to approximate solutions of challenging mixed-integer optimal control problems by decomposing the original task into a ...

Optimal control techniques are used to develop optimal strategies for chemotherapy. In particular, we investigate the qualitative differences between three different cell-kill models: log kill ...

A model of optimal diet selection on depletable resources is presented which considers the effects of exploitative competitors on the optimal behavior. In the absence of any competitors, one of three ...

Merton, Robert C. "Analytical Optimal Control Theory as Applied to Stochastic and Non-Stochastic Economics." Diss., Massachusetts Institute of Technology (MIT), 1970.

The course focuses on optimal path planning and solving optimal control problems for dynamic systems. It is an innovative and highly effective class combining probability theory, calculus and linear ...

Economists at Deutsche Bank ran the numbers and concluded that optimal control theory currently implies much tighter policy than what’s being forecasted by officials: ...

Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...