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20202026
most citedMulti-Objective Digital PID Controller Design in Parameter Space

1 citations · 1 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG2026

Demand Transfer Estimation at Scale via Restricted Logit Modeling

Lakshya Garg, Deep Narayan Mishra, Swapnil Yadav +4

Item demand forecasting is an integral component of store assortment optimization. Existing literature focuses on learning a suitable customer choice model and using this model to…

cs.LG2026

LEAP: Layer-wise Exit-Aware Pretraining for Efficient Transformer Inference

Shashank Kapadia, Deep Naryan Mishra, Sujal Reddy Alugubelli +4

Layer-aligned distillation and convergence-based early exit represent two predominant computational efficiency paradigms for transformer inference; yet we establish that they exhib…

cs.CV2024

Neural Spatial-Temporal Tensor Representation for Infrared Small Target Detection

Fengyi Wu, Simin Liu, Haoan Wang +3

Optimization-based approaches dominate infrared small target detection as they leverage infrared imagery's intrinsic low-rankness and sparsity. While effective for single-frame ima…

eess.SY2023

Use of Robust DOB/CDOB Compensation to Improve Autonomous Vehicle Path Following Performance in the Presence of Model Uncertainty, CAN Bus Delays and External Disturbances

Haoan Wang, Levent Guvenc

A path tracking control system is chosen as the proof-of-concept demonstration application in this paper. A disturbance observer (DOB) is embedded within the steering to path error…

cs.RO2023

Discrete-time Robust PD Controlled System with DOB/CDOB Compensation for High Speed Autonomous Vehicle Path Following

Haoan Wang, Levent Guvenc

Autonomous vehicle path following performance is one of significant consideration. This paper presents discrete time design of robust PD controlled system with disturbance observer…

eess.SY2020★ 1 cited

Multi-Objective Digital PID Controller Design in Parameter Space

Haoan Wang, Levent Guvenc

This paper presents a multi-objective digital PID controller design method using the parameter space approach of robust control. Absolute stability is treated first by finding the…