most citedCharacterization of Minimum Time-Fuel Optimal Control for LTI Systems

1 citations · 1 across the 5 of their papers we have counts for

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5 papers

eess.SY2026

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…

eess.SY2026

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…

eess.SY2026

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-…

eess.SY2026

Data-driven Control with Real-time Uncertainty Compensation for Multi-Fuel Engines

Rajasree Sarkar, Arunava Banerjee, Sathya Aswath Govind Raju +4

Multi-fuel compression ignition (CI) engines offer superior power density and fuel flexibility. However, achieving consistent and optimal combustion phasing across a wide range of…

math.OC2021★ 1 cited

Characterization of Minimum Time-Fuel Optimal Control for LTI Systems

Rajasree Sarkar, Deepak U. Patil, Indra Narayan Kar

A problem of computing time-fuel optimal control for state transfer of a single input linear time invariant (LTI) system to the origin is considered. The input is assumed to be bou…