Real-Time Optimisation of a Data Center Free-Cooling System via Dither-Free Least-Squares Extremum Seeking

This paper addresses the supervisory real-time optimisation (RTO) of a data center free-cooling (FC) system, with the aim of minimising auxiliary power consumption while meeting thermal requirements. The problem is handled in a measurement-based way by adapting the pump and fan speed references online through a dither-free Least-Squares Extremum Seeking Control (LS-ESC) strategy based on first-order least-squares gradient estimation. The approach is assessed in a Simscape-based simulation env...

Physics-Seeded Cascaded Refinement-Inference Network for Timeseries Prediction of Dual-Valve Heave Compensators with Parameter Variations

The Dual-valve Heave Compensator (DHC) is a semi-active offshore system for motion decoupling, yet high-performance control is constrained by the computational cost of hysteretic coupled models under simultaneous variations in external, internal, and control parameters. To address such bottleneck, in this work a Physics-Seeded Cascaded Refinement-Inference Network (PSCRIN) is proposed. PSCRIN is a three-level architecture: (i) a Numerical-Solver Physics-Seed sub-Network (NSPSN) that rapidly p...

Augmented Pure Pursuit for High-Performance Path Tracking in Formula Driverless

Pure Pursuit (PP) is a widely adopted geometric path-tracking controller valued for its robustness, low computational cost, and ease of deployment. However, under aggressive driving conditions, tire slip and transient yaw dynamics alter the steering-to-curvature map, degrading tracking performance. This paper proposes a minimal modification of PP in which the nominal steering command is scaled by a single gain, increasing effective steering authority without introducing integral action, sides...

How Do Picturebooks from European Borderlands (2015–2025) Function as Cultural Practices to Construct Critical Hope?