B
Behzad Moshiri
Researcher at University of Tehran
Publications - 274
Citations - 3026
Behzad Moshiri is an academic researcher from University of Tehran. The author has contributed to research in topics: Sensor fusion & Kalman filter. The author has an hindex of 27, co-authored 257 publications receiving 2638 citations. Previous affiliations of Behzad Moshiri include University of Waterloo & University College of Engineering.
Papers
More filters
Journal ArticleDOI
Optimal control of a nonlinear fed-batch fermentation process using model predictive approach
TL;DR: In this paper, a model predictive control (MPC) based on a detailed unstructured model for penicillin production in a fed-batch fermentor is presented, which uses the inverse of penicilin concentration as a cost function instead of a common quadratic regulating one in an optimization block.
Journal ArticleDOI
A comparative assessment of multi-sensor data fusion techniques for freeway traffic speed estimation using microsimulation modeling
TL;DR: Seven multi-sensor data fusion-based estimation techniques are investigated and show that most data fusion techniques improve accuracy over single sensor approaches, but the analysis shows that the improvement by data fusion depends on the technique, the number of probe vehicles, and the traffic conditions.
Journal ArticleDOI
Forecasting of short-term traffic-flow based on improved neurofuzzy models via emotional temporal difference learning algorithm
TL;DR: The research discussed the strong points of new method based on neurofuzzy and limbic system structure against classical and other intelligent methods and confirmed the significance of structural brain modeling beyond the classical artificial neural networks.
Journal ArticleDOI
Fusing a Bluetooth Traffic Monitoring System With Loop Detector Data for Improved Freeway Traffic Speed Estimation
TL;DR: The analysis shows that through data fusion, even a few probe vehicle measurements from a Bluetooth traffic monitoring system can improve the accuracy of traffic speed estimates traditionally obtained from loop detectors.
Journal ArticleDOI
H∞ control of parameter-dependent state-delayed systems using polynomial parameter-dependent quadratic functions
TL;DR: In this paper, robust disturbance attenuation and robust asymptotic stability problem for finite-dimensional linear parameter-dependent state-delayed systems were considered, and the use of polynomial parameter dependent quadratic Lyapunov functions and linear matrix inequalities (LMIs) formulations for robust H ∞ control were considered.