Select Publications

Book Chapters

Liu J; Anavatti S; Garratt M; Abbass HA, 2021, 'Marriage in Honey Bees Optimization in Continuous Domains', in Handbook of AI-based Metaheuristics, CRC Press, pp. 43 - 72, http://dx.doi.org/10.1201/9781003162841-4

Nguyen H; Garratt M; Abbass H, 2021, 'Apprenticeship Bootstrapping Reinforcement Learning for Sky Shepherding of a Ground Swarm in Gazebo', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 207 - 243, http://dx.doi.org/10.1007/978-3-030-60898-9_10

Fernandez Rojas R; Debie E; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Human Performance Operating Picture for Shepherding a Swarm of Autonomous Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 293 - 323, http://dx.doi.org/10.1007/978-3-030-60898-9_13

Liu J; Garratt M; Anavatti S; Abbass H, 2021, 'Mission Planning for Shepherding a Swarm of Uninhabited Aerial Vehicles', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 87 - 114, http://dx.doi.org/10.1007/978-3-030-60898-9_5

Long N; Garratt M; sammut K; sgarioto D; Abbass H, 2021, 'Shepherding Autonomous Goal-Focused Swarms in Unknown Environments Using Hilbert Space-Filling Paths', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 31 - 50, http://dx.doi.org/10.1007/978-3-030-60898-9_2

Baxter D; Garratt M; Abbass H, 2021, 'Simulating Single and Multiple Sheepdogs Guidance of a Sheep Swarm', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 51 - 65, http://dx.doi.org/10.1007/978-3-030-60898-9_3

Debie E; Fernandez Rojas R; fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Transparent Shepherding: A Rule-Based Learning Shepherd for Human Swarm Teaming', in Shepherding UxVs for Human-Swarm Teaming An Artificial Intelligence Approach to Unmanned X Vehicles, Springer Nature, pp. 267 - 292, http://dx.doi.org/10.1007/978-3-030-60898-9_12

Santoso F; Garratt M; Anavatti S; Wang J, 2021, 'Evolutionary aerial robotics: the human way of learning', in Unmanned Aerial Systems Theoretical Foundation and Applications, Academic Press, pp. 1 - 23, http://dx.doi.org/10.1016/B978-0-12-820276-0.00008-X

Biswas S; Anavatti S; Garratt M, 2021, 'Path planning and task assignment for multiple UAVs in dynamic environments', in Unmanned Aerial Systems Theoretical Foundation and Applications, Academic Press, pp. 81 - 102, http://dx.doi.org/10.1016/B978-0-12-820276-0.00011-X

Santoso F; Garratt MA; Anavatti SG; Wang J, 2021, 'Chapter 1 Evolutionary aerial robotics: the human way of learning', in Unmanned Aerial Systems, pp. 1 - 23, http://dx.doi.org/10.1016/b978-0-12-820276-0.00008-x

Al-Mahturi A; Santoso F; Garratt MA; Anavatti SG, 2021, 'Chapter 2 Modeling and control of a quadrotor unmanned aerial vehicle using type-2 fuzzy systems', in Unmanned Aerial Systems, pp. 25 - 46, http://dx.doi.org/10.1016/b978-0-12-820276-0.00009-1

Biswas S; Anavatti SG; Garratt MA, 2021, 'Chapter 4 Path planning and task assignment for multiple UAVs in dynamic environments', in Unmanned Aerial Systems, pp. 81 - 102, http://dx.doi.org/10.1016/b978-0-12-820276-0.00011-x

Francis S; Anavatti SG; Garratt M; Abbass HA, 2021, 'Real-Time Multi-obstacle Detection and Tracking Using a Vision Sensor for Autonomous Vehicle', in Communication and Intelligent Systems, Springer Singapore, pp. 873 - 883, http://dx.doi.org/10.1007/978-981-16-1089-9_67

Tran V; Santoso F; Garratt M, 2020, 'A Fuzzy Logic-Based Adaptive Strictly Negative-Imaginary Formation Controller for Multi-Quadrotor Systems', in Qian D (ed.), A Closer Look at Formation Control, Nova Science Publisher, New York, USA, https://novapublishers.com/shop/a-closer-look-at-formation-control/

Al-Mahasneh AJ; Anavatti S; Garratt M; Pratama M, 2018, 'Applications of General Regression Neural Networks in Dynamic Systems', in Digital Systems, pp. 133 - 154, http://dx.doi.org/10.5772/intechopen.80258

Santoso F; Garratt M; Anavatti S, 2018, 'Fuzzy Systems for Modelling and Control in Aerial Robotics', in Er MJ; Wang N; Zhichao L; Pratama M (ed.), Intelligent Marine Vehicles Theory and Applications, Nova Science Publisher, New York, https://www.novapublishers.com/catalog/product_info.php?products_id=64339

Biswas S; Anavatti S; Garratt M, 2017, 'Obstacle Avoidance for Multi-agent Path Planning Based on Vectorized Particle Swarm Optimization', in Leu G; Singh HK; Elsayed S (ed.), Intelligent and Evolutionary Systems. Proceedings in Adaptation, Learning and Optimization 8, edn. Proceedings in Adaptation Learning and Optimization, © Springer International Publishing, Univ New S Wales, Canberra Campus, Australian Def Force Acad, Canberra, AUSTRALIA, pp. 61 - 74, http://dx.doi.org/10.1007/978-3-319-49049-6_5

Francis SLX; anavatti S; garratt M, 2013, 'Model based path planning module', in Sen Gupta G; Bailey D; Demidenko S; Carnegie D (ed.), Recent Advances in Robotics and automation, Springer-Verlag, Berlin Heidelberg, pp. 81 - 90, http://dx.doi.org/10.1007/978-3-642-37387-9_6

Yang X; Garratt M; Pota H, 2010, 'Monotonous Trend Estimation of Deck Displacement for Automatic Landing of Rotorcraft UAVs', in Unmanned Aerial Vehicles, Springer Netherlands, pp. 267 - 285, http://dx.doi.org/10.1007/978-94-007-1110-5_18

Journal articles

Tran VP; Santoso F; Garratt MA, 2021, 'Adaptive Trajectory Tracking for Quadrotor Systems in Unknown Wind Environments Using Particle Swarm Optimization-Based Strictly Negative Imaginary Controllers', IEEE Transactions on Aerospace and Electronic Systems, vol. 57, pp. 1742 - 1752, http://dx.doi.org/10.1109/TAES.2020.3048778

Tran VP; Mabrok MA; Garratt MA; Petersen IR, 2021, 'Hybrid adaptive negative imaginary-neural-fuzzy control with model identification for a quadrotor', IFAC JOURNAL OF SYSTEMS AND CONTROL, vol. 16, http://dx.doi.org/10.1016/j.ifacsc.2021.100156

Al-Mahasneh AJ; Anavatti SG; Garratt MA; Pratama M, 2021, 'Stable Adaptive Controller Based on Generalized Regression Neural Networks and Sliding Mode Control for a Class of Nonlinear Time-Varying Systems', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 51, pp. 2525 - 2535, http://dx.doi.org/10.1109/TSMC.2019.2915950

Vu PT; Garratt MA; Petersen IR, 2021, 'Multi-vehicle formation control and obstacle avoidance using negative-imaginary systems theory', IFAC JOURNAL OF SYSTEMS AND CONTROL, vol. 15, http://dx.doi.org/10.1016/j.ifacsc.2020.100117

Biswas S; Anavatti SG; Garratt MA, 2021, 'Multiobjective Mission Route Planning Problem: A Neural Network-Based Forecasting Model for Mission Planning', IEEE Transactions on Intelligent Transportation Systems, vol. 22, pp. 430 - 442, http://dx.doi.org/10.1109/TITS.2019.2960057

Muthusamy PK; Garratt M; Pota HR; Muthusamy R, 2021, 'Realtime Adaptive Intelligent Control System for Quadcopter UAV with Payload Uncertainties', IEEE Transactions on Industrial Electronics, pp. 1 - 1, http://dx.doi.org/10.1109/TIE.2021.3055170

Al-Mahturi A; Santoso F; Garratt MA; Anavatti SG, 2021, 'Self-Learning in Aerial Robotics Using Type-2 Fuzzy Systems: Case Study in Hovering Quadrotor Flight Control', IEEE Access, vol. 9, pp. 119520 - 119532, http://dx.doi.org/10.1109/ACCESS.2021.3107906

Debie E; El-Fiqi H; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2021, 'Autonomous recommender system for reconnaissance tasks using a swarm of UAVs and asynchronous shepherding', Human-Intelligent Systems Integration, vol. 3, pp. 175 - 186, http://dx.doi.org/10.1007/s42454-020-00024-w

Liu J; Anavatti S; Garratt M; Abbass H, 2021, 'Multi-operator continuous ant colony optimisation for real world problems', Swarm and Evolutionary Computation, pp. 100984 - 100984, http://dx.doi.org/10.1016/j.swevo.2021.100984

Tran VP; Garratt MA; Petersen IR, 2020, 'Switching formation strategy with the directed dynamic topology for collision avoidance of a multi-robot system in uncertain environments', IET Control Theory and Applications, vol. 14, pp. 2948 - 2959, http://dx.doi.org/10.1049/iet-cta.2020.0502

Al-Mahasneh AJ; Anavatti SG; Garratt MA, 2020, 'Self-Evolving Neural Control for a Class of Nonlinear Discrete-Time Dynamic Systems with Unknown Dynamics and Unknown Disturbances', IEEE Transactions on Industrial Informatics, vol. 16, pp. 6518 - 6529, http://dx.doi.org/10.1109/TII.2019.2958381

Long NK; Sammut K; Sgarioto D; Garratt M; Abbass HA, 2020, 'A Comprehensive review of shepherding as a bio-inspired swarm-robotics guidance approach', IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 4, pp. 523 - 537, http://dx.doi.org/10.1109/TETCI.2020.2992778

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA; Pan Y, 2020, 'Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles', IEEE Transactions on Fuzzy Systems, vol. 28, pp. 1542 - 1556, http://dx.doi.org/10.1109/TFUZZ.2019.2917808

Santoso F; Garratt MA; Anavatti SG; Petersen I, 2020, 'Robust Hybrid Nonlinear Control Systems for the Dynamics of a Quadcopter Drone', IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 50, pp. 3059 - 3071, http://dx.doi.org/10.1109/TSMC.2018.2836922

Young J; Garratt M, 2020, 'Drones become even more insect-like', Science, vol. 368, pp. 586 - 587, http://dx.doi.org/10.1126/science.abb0064

Fernandez Rojas R; Debie E; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2020, 'Electroencephalographic Workload Indicators During Teleoperation of an Unmanned Aerial Vehicle Shepherding a Swarm of Unmanned Ground Vehicles in Contested Environments', Frontiers in Neuroscience, vol. 14, http://dx.doi.org/10.3389/fnins.2020.00040

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA; Lughofer E, 2020, 'PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles', Information Sciences, vol. 512, pp. 481 - 505, http://dx.doi.org/10.1016/j.ins.2019.10.001

Tran VP; Garratt M; Petersen IR, 2020, 'Switching time-invariant formation control of a collaborative multi-agent system using negative imaginary systems theory', Control Engineering Practice, vol. 95, http://dx.doi.org/10.1016/j.conengprac.2019.104245

Tran VP; Santoso F; Garratt M; Petersen IR, 2020, 'Distributed Formation Control Using Fuzzy Self-Tuning of Strictly Negative Imaginary Consensus Controllers in Aerial Robotics', IEEE/ASME Transactions on Mechatronics, pp. 1 - 1, http://dx.doi.org/10.1109/TMECH.2020.3036829

Ferdaus MM; Anavatti SG; Pratama M; Garratt MA, 2020, 'Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review', Artificial Intelligence Review, vol. 53, pp. 257 - 290, http://dx.doi.org/10.1007/s10462-018-9653-z

Al-Mahturi A; Santoso F; Garratt MA; Anavatti SG, 2020, 'A Robust Self-Adaptive Interval Type-2 TS Fuzzy Logic for Controlling Multi-Input-Multi-output Nonlinear Uncertain Dynamical Systems', IEEE Transactions on Systems, Man, and Cybernetics: Systems, pp. 1 - 12, http://dx.doi.org/10.1109/tsmc.2020.3030078

Tran VP; Santoso F; Garratt M; Anavatti S, 2020, 'Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controller for Unmanned Aerial Vehicles in Time-Varying Environments', IEEE Transactions on Industrial Informatics, pp. 1 - 1, http://dx.doi.org/10.1109/tii.2020.3004600

Tran VP; Santoso F; Garratt M; Petersen IR, 2020, 'Fuzzy Self-Tuning of Strictly Negative-Imaginary Controllers for Trajectory Tracking of a Quadcopter Unmanned Aerial Vehicle', IEEE Transactions on Industrial Electronics, pp. 1 - 1, http://dx.doi.org/10.1109/tie.2020.2988219

Tran VP; Santoso F; Garratt M; Anavatti S, 2020, 'Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload with Minimum Swing', IEEE Transactions on Industrial Electronics, pp. 1 - 1, http://dx.doi.org/10.1109/TIE.2020.3026302

Santoso F; Garratt M; Anavatti S, 2020, 'State-of-the-Art Integrated Guidance and Control Systems in Unmanned Vehicles: A Review', IEEE Systems Journal, pp. 1 - 12, http://dx.doi.org/10.1109/jsyst.2020.3007428

Santoso F; Garratt M; Anavatti S, 2019, 'Robust Hybrid Feedback Linearization and Interval Type-2 Fuzzy Control Systems for the Flapping Angle Dynamics of a Biomimetic Aircraft', IEEE Transactions on Systems Man and Cybernetics: Systems, http://dx.doi.org/10.1109/TSMC.2019.2956735

Santoso F; Garratt M; Anavatti S; Hasanein ; Stenhouse T, 2019, 'Entropy Fuzzy System Identification for the Heave Flight Dynamics of a Model-Scale Helicopter', IEEE-ASME Transactions on Mechatronics, http://dx.doi.org/10.1109/TMECH.2019.2959279

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA, 2019, 'PALM: An Incremental Construction of Hyperplanes for Data Stream Regression', IEEE Transactions on Fuzzy Systems, vol. 27, pp. 2115 - 2129, http://dx.doi.org/10.1109/TFUZZ.2019.2893565

Santoso F; Garratt M; Anavatti S, 2019, 'T2-ETS-IE: Type-2 Evolutionary Takagi-Sugeno Fuzzy Inference Systems with the Information Entropy-Based Pruning Technique', IEEE Transactions on Fuzzy Systems, http://dx.doi.org/10.1109/TFUZZ.2019.2943813

Tran PV; Santoso F; Garratt M; Petersen I, 2019, 'Adaptive Second Order Strictly Negative Imaginary Controllers Based on the Interval Type-2 Fuzzy Self-Tuning Systems For a Hovering Quadrotor with Uncertainties', IEEE/ASME Transactions on Mechatronics, http://dx.doi.org/10.1109/TMECH.2019.2941525

Yazid E; Garratt M; Santoso F, 2019, 'Position control of a quadcopter drone using evolutionary algorithms-based self-tuning for first-order Takagi–Sugeno–Kang fuzzy logic autopilots', Applied Soft Computing Journal, vol. 78, pp. 373 - 392, http://dx.doi.org/10.1016/j.asoc.2019.02.023


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