2 citations · 2 across the 8 of their papers we have counts for
6 papers · 1 filter
Balancing a Flying Inverted Pendulum with an Unknown Length Using Model Predictive Control and a Genetic Algorithm Estimator
Esther Paul, Mitchell Torok, Mohammad Deghat
This paper proposes an online Genetic Algorithm (GA) estimator and a Model Predictive Control (MPC) approach to solve the flying inverted pendulum problem in a practical experiment…
Bearing-Only Solution to the Fermat-Weber Location Problem for Unicycle Agent
Hong Liang Cheah, Mohammad Deghat, Jose Guivant
This paper addresses bearing-only algorithms for solving the Fermat-Weber Location Problem (FWLP) with a unicycle agent. Unlike existing FWLP solutions for single- or double-integr…
Integrated Localization and Path Planning for an Ocean Exploring Team of Autonomous Underwater Vehicles with Consensus Graph Model Predictive Control
Mohsen Eskandari, Andrey V. Savkin, Mohammad Deghat
Navigation of a team of autonomous underwater vehicles (AUVs) coordinated by an unmanned surface vehicle (USV) is efficient and reliable for deep ocean exploration. AUVs depart fro…
Distributed Pose Graph Optimization using the Splitting Method based on the Alternating Direction Method of Multipliers
Zeinab Ebrahimi, Mohammad Deghat
Distributed optimization aims to leverage the local computation and communication capabilities of each agent to achieve a desired global objective. This paper addresses the distrib…
FTISS Adaptive Bearing-Only Formation Tracking Control with Unknown Disturbance Rejection
Hong Liang Cheah, Mohammad Deghat
This paper proposes a finite-time input-to-state stable (FTISS) bearing-only formation control law that rejects unknown constant disturbances. Unlike existing finite-time bearing-b…
Distributed Robust Continuous-Time Optimization Algorithms for Time-Varying Constrained Cost
Zeinab Ebrahimi, Mohammad Deghat
This paper presents a distributed continuous-time optimization framework aimed at overcoming the challenges posed by time-varying cost functions and constraints in multi-agent syst…