Search Results - "Kanwar, Bharat"
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1
Virtual sensor for real-time estimation of the vehicle sideslip angle
Published in Sensor review (26-05-2020)“…Purpose The vehicle sideslip angle is an important state of vehicle lateral dynamics and its knowledge is crucial for the successful implementation of advanced…”
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2
Piezoelectric vibration energy harvesting system with an adaptive frequency tuning mechanism for intelligent tires
Published in Mechatronics (Oxford) (01-10-2012)“…The high vibration levels inside a tire have the potential to generate electrical power using vibration based energy harvesting techniques. In this paper, the…”
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3
Literature review and fundamental approaches for vehicle and tire state estimation
Published in Vehicle system dynamics (02-11-2019)“…Most modern day automotive chassis control systems employ a feedback control structure. Therefore, real-time estimates of the vehicle dynamic states and…”
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4
Estimation of tire-road friction coefficient and its application in chassis control systems
Published in Systems science & control engineering (01-01-2015)“…Knowledge of tire-road friction conditions is indispensable for many vehicle control systems. In particular, friction information can be used to enhance the…”
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A Machine Learning Strategy for Locomotion Classification and Parameter Estimation Using Fusion of Wearable Sensors
Published in IEEE transactions on biomedical engineering (01-05-2021)“…The accurate classification of ambulation modes and estimation of walking parameters is a challenging problem that is key to many applications. Knowledge of…”
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Accelerometer Based Method for Tire Load and Slip Angle Estimation
Published in Vibration (01-06-2019)“…Tire mounted sensors are emerging as a promising technology, capable of providing information about important tire states. This paper presents a survey of the…”
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7
An in-situ localized cell density monitoring method for adherent cells in hollow fiber bioreactors
Published in Sensors and actuators. B, Chemical (15-05-2024)“…This paper presents the development and implementation of an innovative sensor system for non-invasively monitoring localized cell densities in hollow fiber…”
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Modeling and Controller Design for Enhanced Hollow-Fiber Bioreactor Performance
Published in IEEE control systems letters (2022)“…Human Mesenchymal Stromal Cells (hMSC) have shown promising preclinical results by eliciting immunomodulatory effects to alleviate pathology. To obtain…”
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Maneuverability in Dynamic Vertical Climbing
Published in 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (01-10-2018)“…In this paper, we examine the reduced order pendular dynamic climbing model with the addition of attachment windows based on prescribed body roll. With this…”
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Conference Proceeding -
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Extended Pacejka Tire Model for Enhanced Vehicle Stability Control
Published 28-05-2023“…Despite their widespread use, current tire models have demonstrated a certain level of inaccuracy, primarily due to uncertainties related to unaccounted…”
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11
Virtual Sensor for Vehicle Sideslip Angle Based on Tire Model Adaptation
Published 25-11-2018“…Information about the vehicle sideslip angle is crucial for the successful implementation of advanced stability control systems. In production vehicles,…”
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12
Accelerometer Based Method for Tire Load and Slip Angle Estimation
Published 23-01-2019“…Tire mounted sensors are emerging as a promising technology, capable of providing information about important tire states. This paper presents a survey of the…”
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13
Digital Twin Design for hMSC Expansion in Hollow-fiber Bioreactors
Published in 2023 American Control Conference (ACC) (31-05-2023)“…Human Mesenchymal Stromal Cells (hMSC) have shown promising pre-clinical results by eliciting immunomodulatory effects to alleviate inflammation. In order to…”
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Conference Proceeding -
14
Deep Learning in the Automotive Industry: Recent Advances and Application Examples
Published 20-06-2019“…One of the most exciting technology breakthroughs in the last few years has been the rise of deep learning. State-of-the-art deep learning models are being…”
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