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Browsing by Author "Tsourdos, Antonios"

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Capturability of 3D PPN against lower-speed maneuvring target for homing phase

Li, Ke-Bo; Shin, Hyo-Sang; Tsourdos, Antonios; Tahk, Min-Jea (IEEE, 2019-08-30)

The capturability of two-dimensional (2D) pure proportional navigation (PPN) guidance law against lower-speed arbitrarily maneuvering target for homing phase had been thoroughly analyzed by using the nonlinear output ...
Capturability of 3D RTPN guidance law against true-arbitrarily maneuvering target with maneuverability limitation

Li, Ke-Bo; Bai, Zhihui; Shin, Hyo-Sang; Tsourdos, Antonios; Tahk, Min-Jea (Elsevier, 2022-05-31)

The capturability of the Three-Dimensional (3D) Realistic True Proportional Navigation (RTPN) guidance law is thoroughly analyzed. The true-arbitrarily maneuvering target is considered, which maneuvers along an arbitrary ...
Closed-loop analysis with incremental backstepping controller considering measurement bias

Jeon, Byoung-Ju; Seo, Min-Guk; Shin, Hyo-Sang; Tsourdos, Antonios (Elsevier, 2019-11-25)

In this paper, closed loop system characteristics with an incremental backstepping controller are investigated through theoretical analysis when both measurement biases and model uncertainties exist. Incremental backstepping ...
Co-simulation digital twin framework for testing future advanced air mobility concepts: a study with BlueSky and AirSim

Zhao, Junjie; Conrad, Christopher; Fremond, Rodolphe; Mukherjee, Anurag; Delezenne, Quentin; Su, Yu; Xu, Yan; Tsourdos, Antonios (IEEE, 2023-11-10)

The UK Future Flight Vision and Roadmap outlines the anticipated development of aviation in the UK by 2030. As part of the Future Flight demonstration segment, project HADO (High-intensity Autonomous Drone Operations) will ...
Cognitive communication scheme for unmanned aerial vehicle operation

Xu, Zhengjia; Petrunin, Ivan; Tsourdos, Antonios; Sabyasachi, Mondal; Williamson, Alex (IEEE, 2020-02-17)

An intelligent and agile wireless communication scheme is a key factor in provision of efficient air-to-ground (A2G) communication for unmanned aerial vehicles (UAVs) operations. For this purpose we review and propose an ...
Collision avoidance strategies for unmanned aerial vehicles in formation flight

Seo, Joongbo; Kim, Youdan; Kim, Seungkeun; Tsourdos, Antonios (IEEE, 2017-06-13)

Collision avoidance strategies for multiple UAVs (Unmanned Aerial Vehicles) based on geometry are investigated in this study. The proposed strategies allow a group of UAVs to avoid obstacles and separate if necessary through ...
Combination and selection of machine learning algorithms in GNSS architecture design for concurrent executions with HIL testing

Xu, Zhengjia; Petrunin, Ivan; Tsourdos, Antonios; Grech, Raphael; Peltola, Pekka; Tiwari, Smita (IEEE, 2023-11-10)

As machine learning (ML) continuing to gain popularity, ML-assisted Global Navigation Satellite System (GNSS) receivers facilitate the performance of Autonomous Systems (AS) navigation solutions. However, selections of ML ...
A comparison between guidance laws for AUVs using relative kinematics

Bilale, Abudureheman; Savvaris, Al; Tsourdos, Antonios (IEEE, 2017-10-26)

This paper presents a comparison between three popular guidance laws for path following of autonomous underwater vehicles: switching enclosure-based Line-Of-Sight (LOS), lookahead-based LOS, and vector field guidance laws. ...
Comparison of cooled and uncooled IR sensors by means of signal-to-noise ratio for NDT diagnostics of aerospace grade composites

Shakeb, Deane; Avdelidis, Nicolas Peter; Ibarra-Castanedo, Clemente; Zhang, Hai; Nezhad, Hamed Yazdani; Williamson, Alex A.; Mackley, Tim; Maldague, Xavier P. V.; Tsourdos, Antonios; Nooralishahi, Parham (MDPI, 2020-06-15)

This work aims to address the effectiveness and challenges of non-destructive testing (NDT) by active infrared thermography (IRT) for the inspection of aerospace-grade composite samples and seeks to compare uncooled and ...
Composite adaptive backstepping control considering computational complexity and relaxation of persistent excitation

Jeon, Byoung-Ju; Shin, Hyo-Sang; Tsourdos, Antonios (Elsevier, 2020-11)

A new composite adaptive backstepping control is proposed in this paper, which achieves parameter estimation convergence without persistent excitation and reduces estimation problem dimension for less computational complexity. ...
Composite model reference adaptive control under finite excitation with unstructured uncertainties

Cho, Namhoon; Shin, Hyo-Sang; Kim, Youdan; Tsourdos, Antonios (IEEE, 2024-01-19)

This paper presents an online parameter update algorithm in the context of composite model reference adaptive control based on intermittent signal holding to improve convergence properties of the parameters representing ...
Composite model reference adaptive control with parameter convergence under finite excitation

Cho, Namhoon; Shin, Hyo-Sang; Kim, Youdan; Tsourdos, Antonios (IEEE, 2017-08-09)

A new parameter estimation method is proposed in the framework of composite model reference adaptive control for improved parameter convergence without persistent excitation. The regressor filtering scheme is adopted to ...
Computational guidance using sparse Gauss-Hermite quadrature differential dynamic programming

He, Shaoming; Shin, Hyo-Sang; Tsourdos, Antonios (Elsevier, 2019-11-25)

This paper proposes a new computational guidance algorithm using differential dynamic programming and sparse Gauss-Hermite quadrature rule. By the application of sparse Gauss-Hermite quadrature rule, numerical differentiation ...
Computational missile guidance: a deep reinforcement learning approach

He, Shaoming; Shin, Hyo-Sang; Tsourdos, Antonios (AIAA, 2021-06-28)

This paper aims to examine the potential of using the emerging deep reinforcement learning techniques in missile guidance applications. To this end, a Markovian decision process that enables the application of reinforcement ...
Concurrent learning adaptive control with directional forgetting

Lee, Hae-In; Shin, Hyo-Sang; Tsourdos, Antonios (IEEE, 2019-04-17)

This paper proposes a new concurrent learning-based adaptive control algorithm. The main objective behind our proposition is to relax the persistent excitation requirement for the stability guarantee, while providing the ...
Condition based maintenance optimization of an aircraft assembly process considering multiple objectives

Li, Jin; Sreenuch, Tarapong; Tsourdos, Antonios (Hindawi Publishing Corporation, 2014-02-11)

The Commercial Aircraft Cooperation of China (COMAC) ARJ21 fuselage's final assembly process is used as a case study. Thefocus of this paper is on the condition based maintenance regime for the (semi-) automatic assembly ...
The consensus of non-linear agents under switching topology using dynamic inversion in the presence of communication noise and delay

Mondal, Sabyasachi; Tsourdos, Antonios (Sage, 2021-05-03)

In this study, a consensus protocol for non-linear multi-agent systems using the non-linear dynamic inversion (NDI) technique is presented. It is named as distributed NDI or DNDI. The agents are considered to be working ...
Consensus tracking of nonlinear agents using distributed nonlinear dynamic inversion with switching leader-follower connection

Mondal, Sabyasachi; Tsourdos, Antonios (MDPI, 2022-12-06)

In this paper, a consensus tracking protocol for nonlinear agents is presented, which is based on the Nonlinear Dynamic Inversion (NDI) technique. Implementation of such a technique is new in the context of the consensus ...
Constrained multiple model bayesian filtering for target tracking in cluttered environment

He, Shaoming; Shin, Hyo-Sang; Tsourdos, Antonios (Elsevier, 2017-10-18)

This paper proposes a composite Bayesian filtering approach for unmanned aerial vehicle trajectory estimation in cluttered environments. More specifically, a complete model for the measurement likelihood function of all ...
Construction of control Lyapunov function with region of attraction using union theorem in sum-of-squares optimization

Biswas, Bhaskar; Ignatyev, Dmitry; Zolotas, Argyrios; Tsourdos, Antonios (IEEE, 2023-07-25)

Control Lyapunov function (CLF) paves the way for designing a certified controller with a known stable region, which is the out-most importance in control systems. Sum-of-Squares (SOS) optimization is one method to construct ...

Browsing by Author "Tsourdos, Antonios"

Browsing by Author "Tsourdos, Antonios"

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