Abstract: Model predictive control (MPC) is increasingly employed in modular multilevel converters (MMC) control due to its flexible management and rapid response capabilities. It is still challenging ...

Abstract: In this paper, a framework of model predictive optimization and control for quadruped whole-body locomotion is presented, which enables dynamic balance and minimizes the control effort.

Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...

Predictive models were built with records from 4758 patients and validated with 6977 patients after evaluation in the emergency department. Variables recorded were age, sex, place of birth, clinical ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this research work authors have experimentally validated a blend of Machine ...

Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K. Sargent Centre for Process Systems Engineering, Imperial College London, London SW7 2AZ, U.K.

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

Buildings account for a large proportion of the total energy consumption in many countries and almost half of the energy consumption is caused by the Heating, Ventilation, and air-conditioning (HVAC) ...

ISA 2012 Automation Week Track: Control Performance Thursday, 27 September, 3:15-4:45 pm, Room 204B R. Russell Rhinehart School of Chemical Engineering, Oklahoma State University Often, nonlinearity ...

This website has a series of tutorials on control systems. They are designed to help you learn how to use Matlab for the analysis and design of automatic control systems. They cover the basics of ...