IEEE

Approximate Nonlinear Model Predictive Control With Safety-Augmented Neural Networks

Model predictive control (MPC) achieves stability and constraint satisfaction for general nonlinear systems but requires computationally expensive online optimization. This brief studies ...
Entrepreneur

Why Predictive Service Is the Next Big Thing For Your Customer Service

To drive growth, companies should transform customer support from reactive to predictive and proactive. Using foresight, ethical data and strategic alignment can turn customer experience into a key ...
Forbes

How Predictive Maintenance Supports Resilient Manufacturing

Manufacturers are navigating a tempestuous landscape, wrestling with the intertwined challenges of pandemic-induced disruptions, potential tariffs and evolving policy shifts that strain global supply ...
GitHub

Nonlinear model predictive control(NMPC) with Extended State Observer(ESO) for robust quadrotor control, built on PX4 autopilot framework.

src/ ├─ px4ctrl/ # ESO-NMPC controller core ├─ sim_rc/ # Remote control simulator │ └─ sim_rc_node # Gazebo RC simulation node ├─ utils/ # Dependency packages │ ├─ cmake_utils/ # CMake configuration ...
Frontiers

Optimizing HVAC systems with model predictive control: integrating ontology-based semantic models for energy efficiency and comfort

Building systems are dynamic and non-linear. In HVAC systems, independently controlled modules interact, creating complex interdependencies that challenge optimizing energy savings and thermal comfort ...
IEEE

Nonlinear Model Predictive Control for Internet of Things Using Particle Swarm Optimization and Cloud Computing

Abstract: This paper proposes a novel model predictive control design for Internet of Things (IoT) applications by using the generalized opposition-based learning particle swarm optimization algorithm ...
POWER Magazine

AI-Driven Predictive Maintenance: The Future of Reliability in Power Plants

Artificial intelligence (AI) is transforming the energy sector, helping power plant operators optimize efficiency, reduce emissions, and prevent costly equipment failures. By analyzing vast amounts of ...
C&EN

Efficient Model Predictive Control Implementation via Machine Learning: An Algorithm Selection and Configuration Approach

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...