Abstract: In this work, we propose a tube-based model predictive control (MPC) scheme for state- and input-constrained linear systems subject to dynamic uncertainties characterized by dynamic integral ...

Abstract: This letter presents a new predictive control architecture for high-dimensional robotic systems. As opposed to a conventional Model Predictive Control (MPC) approach to locomotion that ...

To construct model predictive controllers (MPCs), we must first specify a plant model that is typically extracted from input-output data using system identification ...

Two-dimensional (2D) perovskites are increasingly recognized as promising candidate materials for the next generation of ...

Utilities and power generation companies are bolstering operational efficiency and plant reliability by implementing advanced ...

Buildings may be getting smarter, but too many control rooms are still anchored to yesterday’s technology, such as on‑site ...

RBI's new AI governance rules for banks place significant accountability on financial entities for all predictive models, ...

Representatives of three AI firms briefed an expert committee, senior members of the temple board, and police officers about ...

Ocius Technology is collaborating with the University of New South Wales (UNSW) Canberra to advance control systems for its Bluebottle unmanned surface vehicle (USV).

In an autonomous connected enterprise, intelligence is directly embedded into workflows. Instead of relying on fragmented ...

The next wave of robotics depends on unifying code and hardware—embedding AI directly into the deterministic systems that ...