Abstract: In this paper, a model predictive control (MPC) framework is proposed for finite-time stabilization of linear and nonlinear discrete-time systems subject to state and control constraints.

Have you ever had the experience of rereading a sentence multiple times only to realize you still don't understand it? As ...

What if a cup of coffee could help treat cancer? Researchers at the Texas A&M Health Institute of Biosciences and Technology ...

From the Department of Bizarre Anomalies: Microsoft has suppressed an unexplained anomaly on its network that was routing ...

Discover the meaning of continuous operations, their advantages, disadvantages, and real-life applications to maintain ...

Transformer oil, serving both as an insulating medium and a cooling agent, plays a decisive role in transformer performance ...

Discover how command and mixed economies differ, focusing on government control vs. private sector influence, supply and demand, and economic growth strategies.

The US used a cyberattack to turn off power in Caracas during the raid to seize Maduro. The US grid is also vulnerable to ...

Abstract: This paper investigates the optimal control problem for interconnected systems with unknown system dynamics through a two-stage reinforcement learning method. First, to address the impact of ...

FIRST ON FOX: For the first time, U.S. fighter pilots took direction from an AI "air battle manager" in a Pentagon test that could change how wars are fought in the skies. The Air Force and Navy ran ...