By Professor Matt Garratt

Preprints

Qiu H; Garratt M; Howard D; Anavatti S, 2019, Evolving Spiking Neural Networks for Nonlinear Control Problems, http://dx.doi.org/10.48550/arxiv.1903.01180

Tran VP; Garratt M; Petersen IR, 2018, Distributed Obstacle and Multi-Robot Collision Avoidance in Uncertain Environments, http://arxiv.org/abs/1811.06196v1

Tran VP; Garratt M; Petersen IR, 2018, Time-Varying Formation Control of a Collaborative Multi-Agent System Using Negative-Imaginary Systems Theory, http://dx.doi.org/10.1016/j.conengprac.2019.104245

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA; Lughofer E, 2018, PAC: A Novel Self-Adaptive Neuro-Fuzzy Controller for Micro Aerial Vehicles, http://dx.doi.org/10.48550/arxiv.1811.03764

Nguyen H; Tran V; Nguyen T; Garratt M; Kasmarik K; Barlow M; Anavatti S; Abbass H, 2018, Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction, http://arxiv.org/abs/1810.04344v1

Ferdaus MM; Anavatti SG; Garratt MA; Pratama M, 2018, Development of a Sliding Mode Control Based Adaptive Fuzzy Controller for a Flapping Flight, http://dx.doi.org/10.48550/arxiv.1806.02945

Al-Mahasneh AJ; Anavatti SG; Garratt MA, 2018, Review of Applications of Generalized Regression Neural Networks in Identification and Control of Dynamic Systems, http://dx.doi.org/10.48550/arxiv.1805.11236

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA, 2018, PALM: An Incremental Construction of Hyperplanes for Data Stream Regression, http://dx.doi.org/10.48550/arxiv.1805.04258

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA, 2018, A Generic Self-Evolving Neuro-Fuzzy Controller based High-performance Hexacopter Altitude Control System, http://dx.doi.org/10.48550/arxiv.1805.02508

Ferdaus MM; Anavatti SG; Garratt MA; Pratama M, 2018, Development of c-means Clustering Based Adaptive Fuzzy Controller for A Flapping Wing Micro Air Vehicle, http://dx.doi.org/10.48550/arxiv.1802.01262

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA; Pan Y, 2018, Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-inspired Unmanned Aerial Vehicles, http://dx.doi.org/10.48550/arxiv.1802.00635

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