4 papers
Data-driven design of steady-state feedforward inputs for nonlinear systems under partial measurement
Sathya Aswath Govind Raju, Berk Altiner, Zongxuan Sun +4
Designing trajectory tracking controllers for nonlinear systems remains a significant challenge, traditionally requiring precise mathematical models and complex analytical derivati…
Certified Feedforward Tracking for Unknown Nonlinear Systems via Invertible Neural Networks
Berk Altiner, Rajasree Sarkar, Arunava Banerjee +2
In this paper, we address the certification of datadriven feedforward control for periodic tracking of unknown nonlinear systems under partial state measurements. To this end, we a…
Learning-Based Decision Making for Combustion Phasing Control in Multi-Fuel CI Engines with Latent Fuel Reactivity Estimation
Rajasree Sarkar, Aditya Satish Patil, Arunava Banerjee +4
Multi-fuel compression-ignition engines offer fuel flexibility but introduce uncertain, time-varying fuel reactivity, represented by cetane number (CN), which complicates cycle-to-…
Expected Diverse Utility (EDU): Diverse Bayesian Optimization of Expensive Computer Simulators
John Joshua Miller, Simon Mak, Benny Sun +5
The optimization of expensive black-box simulators arises in a myriad of modern scientific and engineering applications. Bayesian optimization provides an appealing solution, by le…