Javad Poshtan
Papers
6
Total Citations
125
H-Index
4
About
Javad Poshtan is a leading researcher in fault diagnosis, estimation, and control for complex nonlinear and robotic systems. His work centers on developing robust, model-based methods to ensure system reliability and safety, particularly for navigation and actuator systems. His most cited paper, “Distributed Interacting Multiple Filters for Fault Diagnosis of Navigation Sensors in a Robotic System” (2016, 57 citations), introduces a powerful distributed fault detection and isolation (FDI) scheme for inertial and camera sensors, a critical contribution for autonomous robotics. He has also advanced state estimation by cascading Kalman and particle filters for gyroscope drift and robot attitude estimation (2013, 27 citations). Poshtan’s research uniquely applies dissipativity and viability theories to guarantee robust fault estimation and actuator fault tolerance in nonlinear systems, as demonstrated in his works from 2018 and 2020. His contributions extend to practical applications, including multivariable robust control for electrically-powered wheelchairs. With a strong publication record in top venues, Poshtan’s work provides foundational tools for engineers designing resilient, fault-tolerant autonomous systems.
Research Focus
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