Abstract: Inverse reinforcement learning optimal control is under the framework of learner–expert, the learner system can learn expert system's trajectory and optimal control policy via a ...

How do car exhaust systems work? Why do cars have exhaust pipes? What are the different components of an exhaust system? An exhaust system includes: headers, O2 sensors, catalytic converters, ...

Understanding how a tumor evolves against the attack of the immune system is one of the greatest challenges in modern medicine. Current mathematical models are usually deterministic; that is, they ...

Aerial manipulation systems are highly attractive for various applications due to their distinctive features. However, the systems discussed in the literature are constrained by either a restricted ...

President Donald Trump and Defense Secretary Pete Hegseth will share the Pentagon’s recommendations for the Golden Dome on Tuesday. The Golden Dome aims to shield the U.S. from a potential aerial ...

Matt Karoglou is a freelance writer and musician who has been playing video games for 36 years and writing about them for almost as long. When he's not editorializing about the intricacies and ...

Abstract: This article focuses on a type of hysteretic nonlinear multiagent system with state constraints. It introduces an adaptive consensus pseudoinverse control scheme based on fuzzy logic systems ...

In order to provide the safety function the system must continue to operate correctly under all foreseeable conditions. So how do we design a system to achieve this, and when we have done that, how do ...