How AI's predictive power is helping to prevent deforestation

In the past decade, cloud-scale analytics tools have transformed the digital fight against deforestation. Instead of manual ...
IEEE

A Linear Programming Framework for Optimal Event-Triggered LQG Control

Abstract: This letter explores intelligent scheduling of sensor-to-controller communication in networked control systems, particularly when data transmission incurs a cost. While the optimal ...
IEEE

Model Predictive Control for Energy-Efficient Path Following Control of AUVs

Abstract: This article studies the path following (PF) control problem for an autonomous underwater vehicle. To improve the endurance, the energy management is seamlessly integrated into the PF ...
IEEE

Model-Free Predictive Current Control for Switched Reluctance Motor Drives Using Current Difference Technique

Abstract: This article proposes a new current control for switched reluctance motor (SRM) drives. The proposed method is based on the principles of model-free predictive control. Therefore, it ...
IEEE

Computationally Efficient Model Predictive Control Based on Adaptive Switching States for Grid-Connected Three-Level ANPC Inverters

Abstract: Finite control set model predictive control (FCS MPC) is regarded as one of the most powerful controllers for multilevel inverter systems. However, the FCS-MPC still suffers from a heavy ...
IEEE

Dynamic GNN for Predictive Resource Allocation to Mobile Users

Abstract: Predictive resource allocation (PRA) can provide remarkable gains over non-predictive counterparts in boosting the performance of wireless networks. However, existing learning-based PRA ...
IEEE

Actor-Critic Model Predictive Control: Differentiable Optimization meets Reinforcement Learning for Agile Flight

Abstract: A key open challenge in agile quadrotor flight is how to combine the flexibility and task-level generality of model-free reinforcement learning (RL) with the structure and online replanning ...
IEEE

Robust model predictive control under uncontrollable sampling intervals

Abstract: This paper proposes a robust model predictive control (RMPC) framework under uncontrollable sampling intervals, i.e. only a known bound on the sampling interval, designed for incrementally ...
IEEE

Direct Model Predictive Control of a Hybrid Energy Storage System for Electric Vehicles

Abstract: This work applies a direct, enumeration-based model predictive control (MPC) for improving the performance of a hybrid energy storage system (HESS) comprising of hydrogen fuel cell (FC), ...
The Economist

Our Christmas double issue

THIS WEEK the cover of The Economist, and much of what’s inside, is different from what we give our readers the rest of the year. Every Christmas we publish a double issue containing lots of specially ...
The Economist

What The Economist discovered at dating bootcamp

Blame Ovid. Two thousand years ago the Roman poet wrote a manual that promised to explain to his readers the “art of loving”. Its advice ranged from the sensible (pluck your nose-hair), to the ...