Amir Mehdi Yazdani
Orcid: 0000-0003-3439-918XAffiliations:
- Murdoch University, School of Engineering and Energy, Perth, Australia
According to our database1,
Amir Mehdi Yazdani
authored at least 37 papers
between 2014 and 2024.
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Bibliography
2024
A learning-based nearly optimal control framework for trajectory tracking of a flexible-link manipulator system with actuator fault.
Neural Comput. Appl., November, 2024
Holistic Review of UAV-Centric Situational Awareness: Applications, Limitations, and Algorithmic Challenges.
Robotics, August, 2024
Continuous Adaptive Fast Terminal Sliding Mode-Based Speed Regulation Control of PMSM Drive via Improved Super- Twisting Observer.
IEEE Trans. Ind. Electron., May, 2024
An efficient hybrid extreme learning machine and evolutionary framework with applications for medical diagnosis.
Expert Syst. J. Knowl. Eng., April, 2024
2023
Observer-Based Sensor Fault-Tolerant Control With Prescribed Tracking Performance for a Class of Nonlinear Systems.
IEEE Trans. Autom. Control., December, 2023
Perception-aware online trajectory generation for a prescribed manoeuvre of unmanned surface vehicle in cluttered unstructured environment.
Robotics Auton. Syst., November, 2023
A Cooperative Fault-Tolerant Mission Planner System for Unmanned Surface Vehicles in Ocean Sensor Network Monitoring and Inspection.
IEEE Trans. Veh. Technol., 2023
2022
IEEE Trans Autom. Sci. Eng., 2022
Robust Prescribed Trajectory Tracking Control of a Robot Manipulator Using Adaptive Finite-Time Sliding Mode and Extreme Learning Machine Method.
Robotics, 2022
Exploiting a fleet of UAVs for monitoring and data acquisition of a distributed sensor network.
Neural Comput. Appl., 2022
Adaptive full order sliding mode control for electronic throttle valve system with fixed time convergence using extreme learning machine.
Neural Comput. Appl., 2022
Comparative study of metaheuristic algorithms for optimal sizing of standalone microgrids in a remote area community.
Neural Comput. Appl., 2022
Neural Comput. Appl., 2022
2020
Active Front Steering-Based Electronic Stability Control for Steer-by-Wire Vehicles via Terminal Sliding Mode and Extreme Learning Machine.
IEEE Trans. Veh. Technol., 2020
Feasibility analysis of using the hp-adaptive Radau pseudospectral method for minimum-effort collision-free docking operations of AUV.
Robotics Auton. Syst., 2020
Fast nonsingular terminal sliding mode control for permanent-magnet linear motor via ELM.
Neural Comput. Appl., 2020
Feasibility Assessment of a Cost-Effective Two-Wheel Kian-I Mobile Robot for Autonomous Navigation.
CoRR, 2020
Robust precise trajectory tracking of hybrid stepper motor using adaptive critic-based neuro-fuzzy controller.
Comput. Electr. Eng., 2020
An Online Reinforcement Learning Approach for Dynamic Pricing of Electric Vehicle Charging Stations.
IEEE Access, 2020
2019
Hybrid Motion Planning Task Allocation Model for AUV's Safe Maneuvering in a Realistic Ocean Environment.
J. Intell. Robotic Syst., 2019
2018
A novel versatile architecture for autonomous underwater vehicle's motion planning and task assignment.
Soft Comput., 2018
A hierarchal planning framework for AUV mission management in a spatiotemporal varying ocean.
Comput. Electr. Eng., 2018
Online path planning for AUV rendezvous in dynamic cluttered undersea environment using evolutionary algorithms.
Appl. Soft Comput., 2018
2017
Robotics Auton. Syst., 2017
2016
AUV Rendezvous Online Path Planning in a Highly Cluttered Undersea Environment Using Evolutionary Algorithms.
CoRR, 2016
Biogeography-Based Combinatorial Strategy for Efficient AUV Motion Planning and Task-Time Management.
CoRR, 2016
Development of an Autonomous Reactive Mission Scheduling and Path Planning (ARMSP) Architecture Using Evolutionary Algorithms for AUV Operation in a Sever Ocean Environment.
CoRR, 2016
An Autonomous Reactive Architecture for Efficient AUV Mission Time Management in Realistic Sever Ocean Environment.
CoRR, 2016
An Efficient Hybrid Route-Path Planning Model For Dynamic Task Allocation and Safe Maneuvering of an Underwater Vehicle in a Realistic Environment.
CoRR, 2016
Toward Efficient Task Assignment and Motion Planning for Large Scale Underwater Mission.
CoRR, 2016
Differential Evolution for Efficient AUV Path Planning in Time Variant Uncertain Underwater Environment.
CoRR, 2016
A Hierarchal Planning Framework for AUV Mission Management in a Spatio-Temporal Varying Ocean.
CoRR, 2016
CoRR, 2016
A novel efficient task-assign route planning method for AUV guidance in a dynamic cluttered environment.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2014
Imperialist competitive algorithm-based adaptive fuzzy control of a pneumatic actuator.
J. Syst. Control. Eng., 2014