Recently, robotic manipulators have been playing an increasingly critical part in scientific
research and industrial applications. However, modeling of robotic manipulators is …

Consider a control problem with a communication channel connecting the observer of a
linear stochastic system to the controller. The goal of the controller is to minimize a quadratic …

Wireless sensors and networks are used only occasionally in current control loops in the
process industry. With rapid developments in embedded and highperformance computing …

The convergence of wireless networks and control engineering has been a technological
driver since the beginning of this century. It has significantly contributed to a wide set of …

Nervous systems sense, communicate, compute, and actuate movement using distributed
components with severe trade-offs in speed, accuracy, sparsity, noise, and saturation …

We investigate a linear-quadratic-Gaussian (LQG) control and sensing codesign problem,
where one jointly designs sensing and control policies. We focus on the realistic case where …

This article develops a diffeomorphism-based robust bounded control (DRBC) for the
permanent magnet linear synchronous motor system subject to inequality constraints (ie …

We consider a cloud-based control framework in which individual clients own their local
plants that must be controlled by a public authority. Individual clients desire to keep the local …

Despite the significant progress of deep reinforcement learning (RL) in solving sequential
decision making problems, RL agents often overfit to training environments and struggle to …

Entanglement is crucial for many applications such as quantum computing, quantum
sensing, and quantum communication. Establishment of entanglement between remote …