Amirmasoud MolaeiKarlsruhe Institute of Technology | KIT · Institute of Vehicle System Technology
Amirmasoud Molaei
Master of Engineering
About
8
Publications
650
Reads
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11
Citations
Citations since 2017
Introduction
Experienced researcher with a demonstrated history of working in research and industry. Highly motivated, self-driven, and passionate control engineer with extensive experience in control design, estimation theory, sensor fusion, robotics, system identification, and computer science. Possessing strong attention to detail, exceptional analytical skills, and the ability to solve complex problems. Marie Skłodowska-Curie research fellow and a Ph.D. student at Karlsruhe Institute of Technology (KIT).
Additional affiliations
September 2021 - present
Novatron Oy
Position
- Early Stage Researcher (ESR)
Education
March 2021 - February 2024
September 2017 - February 2020
September 2013 - September 2017
Publications
Publications (8)
This brief proposes a method for the simultaneous estimation of unknown parameters and unmeasured states of nonlinear continuous-time systems. The proposed methodology has been inspired by the supervisory estimation approaches that use a bank of observers and are designed based on a set of fixed nominal parameter values. Consequently, the methods h...
![Figure 7. The configuration of the sensors on the excavator [20].](profile/Amirmasoud-Molaei/publication/362474207/figure/fig3/AS:1186681541668867@1659938335821/The-configuration-of-the-sensors-on-the-excavator-20_Q320.jpg)
This paper discusses the estimation of the swing angle and digging depth during the excavation operation. The ability to calculate the excavator's productivity is an essential step toward autonomous excavators. The swing angle and digging depth have significant effects on the excavator's productivity and must be taken into account for the productiv...
Heavy-duty mobile machines (HDMMs) are a wide range of machinery used in diverse and critical application areas which are currently facing several issues like skilled labor shortage, poor safety records, and harsh work environments. Consequently, efforts are underway to increase automation in HDMMs for increased productivity and safety, eventually...
Heavy-duty mobile machines (HDMMs) are a wide range of machinery used in diverse and critical application areas which are currently facing several issues like skilled labor shortages, poor safety records, and harsh work environments. Consequently, efforts are underway to increase automation in HDMMs for increased productivity and safety, eventually...
This paper studies state estimation in the presence of parametric uncertainties, with flow estimation in Managed Pressure Drilling as a case study. Downhole measurements in most MPD systems have low frequency due to communication with mud-pulse telemetry. Also, the drilling process has parametric uncertainties due to unknown friction and fluid dens...
