All Outputs (8)

Event-triggered based state estimation for autonomous operation of an aerial robotic vehicle (2019)
Journal Article
Nokhodberiz, N. S., Nemati, H., & Montazeri, A. (2019). Event-triggered based state estimation for autonomous operation of an aerial robotic vehicle. IFAC-PapersOnLine, 52(13), 2348-2353. https://doi.org/10.1016/j.ifacol.2019.11.557

In this article the problem of event-triggered (ET) state estimation for autonomous navigation of an aerial vehicle is investigated numerically. The aerial vehicle is considered as a general example of a nonlinear non-Gaussian system for state estima... Read More about Event-triggered based state estimation for autonomous operation of an aerial robotic vehicle.

Fast, vision-based, line-following schemes for Micro Aerial Vehicles in nuclear environments (2019)
Presentation / Conference
Nemati, H., Goki, S. H. M., Yazdanshenas, A., & Taylor, C. J. (2019, October). Fast, vision-based, line-following schemes for Micro Aerial Vehicles in nuclear environments. Paper presented at 2019 IEEE Nuclear Science Symposium and Medical Imaging Conference, Manchester Central Convention Centre, Manchester, United Kingdom

Many nuclear power plants are reaching the end of their economic lifetime and the decommissioning of legacy nuclear facilities is an important challenge in the next few decades. Since the radiation level in these facilities is significant, autonomous... Read More about Fast, vision-based, line-following schemes for Micro Aerial Vehicles in nuclear environments.

Robust Attitude Stabilization of a Track Follower Micro Aerial Vehicle using a Vision-based Sensor (2019)
Presentation / Conference
Nemati, H., Mirtajadini, S. H., & Yazdanshenas, A. (2019, October). Robust Attitude Stabilization of a Track Follower Micro Aerial Vehicle using a Vision-based Sensor. Paper presented at XV Korolev's Readings, Samara, Russia

A fuzzy paradigmatic clustering algorithm (2019)
Journal Article
Amirjavid, F., Barak, S., & Nemati, H. (2019). A fuzzy paradigmatic clustering algorithm. IFAC-PapersOnLine, 52(13), 2360-2365. https://doi.org/10.1016/j.ifacol.2019.11.559

Clustering algorithms resume the datasets into few number of data points such as centroids or medoids, which explain the entire dataset briefly. In the domain of data-driven machine learning, the more precision with the clustering rule leads directly... Read More about A fuzzy paradigmatic clustering algorithm.

A fuzzy data-driven paradigmatic predictor (2019)
Journal Article
Amirjavid, F., Nemati, H., & Barak, S. (2019). A fuzzy data-driven paradigmatic predictor. IFAC-PapersOnLine, 52(13), 2366-2371. https://doi.org/10.1016/j.ifacol.2019.11.560

Data-driven prediction of future events is to provide decision-makers Predictive Information (PI) to decrease human-error. They usually desire possession of a predictor which works independently from the humanized configurations and works efficiently... Read More about A fuzzy data-driven paradigmatic predictor.

Robust Intelligent Control of Underactuated Ground- based and Aerial Robots with Matched/Mismatched Uncertainties and Disturbances (2019)
Presentation / Conference
Nemati, H., & Bandala Sanchez, M. (2019, July). Robust Intelligent Control of Underactuated Ground- based and Aerial Robots with Matched/Mismatched Uncertainties and Disturbances. Presented at Intelligent Fluid Power transmission And Control (IFPAC) Workshop, University of Bath, UK

Recently, inspired by nature, the evolution of novel materials and fabrication procedures for the design and control of soft-bodied robots have led to deformable actuators that are versatile, power-efficient, compliant, agile, self-healing and intell... Read More about Robust Intelligent Control of Underactuated Ground- based and Aerial Robots with Matched/Mismatched Uncertainties and Disturbances.

Assisted teleoperation for a dual-manipulator robot and coordination with aerial vehicles for nuclear decommissioning applications (2019)
Presentation / Conference
Bandala Sanchez, M., Nemati, H., Montazeri, A., & Taylor, C. J. (2019, June). Assisted teleoperation for a dual-manipulator robot and coordination with aerial vehicles for nuclear decommissioning applications. Poster presented at International Conference on Advancements in Nuclear Instrumentation Measurement Methods and their Applications (ANIMMA), Portoroz, Slovenia

This poster summarises research at Lancaster University into the modelling and control of mobile robots with application to nuclear decommissioning. The work is based on use of a mobile, hydraulically actuated robot, which is supported by information... Read More about Assisted teleoperation for a dual-manipulator robot and coordination with aerial vehicles for nuclear decommissioning applications.

Output Feedback Sliding Mode Control of Quadcopter Using IMU Navigation (2019)
Conference Proceeding
Nemati, H., & Montazeri, A. (2019). Output Feedback Sliding Mode Control of Quadcopter Using IMU Navigation. https://doi.org/10.1109/icmech.2019.8722899

The main focus of this paper is to design various nonlinear sliding mode output feedback control approaches for attitude stabilisation of a quadcopter UAV using only IMU navigation sensor. Three types of controllers are considered based on asymptotic... Read More about Output Feedback Sliding Mode Control of Quadcopter Using IMU Navigation.