Putting a human in the loop often refers to an artificial intelligence (AI), such as a target acquirer, that requires human authorization to proceed (as in, pull the trigger). However, in learning ...

Sollum Technologies has announced a strategic partnership with AI greenhouse control company Optimal. This collaboration integrates Sollum’s 100% dynamic LED lighting with Optimal's AI climate and ...

We address the problem of steering a stochastic linear system with control-linear noise from an initial condition to a final state while minimizing mean squared deviation from a target state. We ...

Introduction to the theory and applications of optimal control in a concise and comprehensive manner.

We adapt non-linear optimal control theory (OCT) to control oscillations and network synchrony and apply it to models of neural population dynamics. OCT is a mathematical framework to compute an ...

We present a novel class of minimax optimal control problems with positive dynamics, linear objective function and homogeneous constraints. The proposed problem class can be analyzed with dynamic ...

Industrial practitioners who develop linear model predictive control (MPC) applications want to prevent undesirable controller behavior caused by ill-conditioned gain matrices and model mismatch.

This paper investigates the leader-based distributed optimal control problem of discrete-time linear multi-agent systems (MASs) on directed communication topologies. In particular, the communication ...

The optimal strategy in these tasks is to choose the first option that is above a threshold that depends on the current position in the sequence. The implicit decision-making strategies by humans vary ...