Researchers in biomechanics, neuroscience, human–machine interaction and other fields
are interested in inferring human intentions and objectives from observed actions. The …

In this paper, we consider a dynamical system whose trajectory is a result of minimizing a
multiphase cost function. The multiphase cost function is assumed to be a weighted sum of …

In this note, we consider the problem of computing the parameters (or weights) of an optimal
control objective function given optimal closed-loop state and control trajectories. We …

This letter addresses the inverse problem of differential games, where the aim is to compute
cost functions which lead to observed Nash equilibrium trajectories. The solution of this …

We consider the problem of computing parameters of player cost functionals such that given
state and control trajectories constitute an open-loop Nash equilibrium for a noncooperative …

This article develops a methodology that enables learning an objective function of an
optimal control system from incomplete trajectory observations. The objective function is …

This paper presents a novel sequential inverse optimal control (SIOC) method for discrete-
time systems, which calculates the unknown weight vectors of the cost function in real time …

A common hypothesis in human motor control is that human movement is generated by
optimizing with respect to a certain criterion and is task dependent. In this paper, a method to …

In this paper, we consider the problem of computing parameters of a discrete-time infinite-
horizon optimal control objective function from (possibly finite-length) state and control …

In this paper, we consider the problem of estimating the parameters of an optimal control
objective function based on measurements of the closed loop system. In contrast to previous …