3 citations · 5 across the 13 of their papers we have counts for
6 papers · 1 filter
Probe-Conditioned Memory for Actuator-Deadband-Aware Koopman MPC in Industrial Sealing
Yue Wu
Industrial sealing and dispensing cells often reuse a pressure chain, nozzle, substrate path, and vision interface across product recipes. For a narrow bead recipe, however, a cali…
Input-to-State Stability Certification via Projection Residuals for Koopman Learning Control of Nonlinear Repetitive Systems
Yue Wu, Ye Cao, Jianfu Cao
This paper studies input-to-state stability (ISS) certification for data-driven Koopman learning control of unknown discrete-time nonlinear repetitive systems over finite trial hor…
Mechanism-Guided Residual Lifting and Control Consistent Modeling for Pneumatic Drying Processes
Yue Wu
Pneumatic drying processes in industries such as agriculture, chemicals,and pharmaceuticals are notoriously difficult to model and control due to multi-source disturbances,coupled…
A Trustworthy Industrial Fault Diagnosis Architecture Integrating Probabilistic Models and Large Language Models
Yue wu
There are limitations of traditional methods and deep learning methods in terms of interpretability, generalization, and quantification of uncertainty in industrial fault diagnosis…
A Data-Driven Prescribed-Time Control Framework via Koopman Operator and Adaptive Backstepping
Yue Wu
Achieving rapid and time-deterministic stabilization for complex systems characterized by strong nonlinearities and parametric uncertainties presents a significant challenge. Tradi…
Online Learning Control Strategies for Industrial Processes with Application for Loosening and Conditioning
Yue Wu, Jianfu Cao, Ye Cao
This paper proposes a novel adaptive Koopman Model Predictive Control (MPC) framework, termed HPC-AK-MPC, designed to address the dual challenges of time-varying dynamics and safe…