Select Publications

Journal articles

Al-Mahasneh AJ; Anavatti SG; Garratt MA, 2022, 'Online Model-Free Reinforcement Learning for Output Feedback Tracking Control of a Class of Discrete-Time Systems with Input Saturation', IEEE Access, 10, pp. 104966 - 104979, http://dx.doi.org/10.1109/ACCESS.2022.3210136

Tran P; Abpeikar S; Kasmarik K; Garratt M; Anavatti S, 2022, 'Frontier Led Swarming: Robust Multi-robot coverage of Unknown Environments', Swarm and Evolutionary Computation, 75, pp. 101171, http://dx.doi.org/10.1016/j.swevo.2022.101171

Dam T; Anavatti SG; Abbass HA, 2021, 'Improving ClusterGAN Using Self-Augmented Information Maximization of Disentangling Latent Spaces', , http://arxiv.org/abs/2107.12706v2

Al-Mahasneh AJ; Anavatti SG; Garratt MA; Pratama M; Al-Mahasneh AJ, 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, 51, pp. 2525 - 2535, http://dx.doi.org/10.1109/TSMC.2019.2915950

Salman SA; Hassanein O; Anavatti S; Gadelmoula A, 2021, 'Gain-Scheduled Level Controller for FESTO MPS PA Station Tank', International Journal on Engineering Applications, 9, pp. 353 - 360, http://dx.doi.org/10.15866/irea.v9i6.20191

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, 22, pp. 430 - 442, http://dx.doi.org/10.1109/TITS.2019.2960057

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, 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, 3, pp. 175 - 186, http://dx.doi.org/10.1007/s42454-020-00024-w

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, 16, pp. 6518 - 6529, http://dx.doi.org/10.1109/TII.2019.2958381

Mohammadi Asl R; Shabbouei Hagh Y; Anavatti S; Handroos H, 2020, 'Adaptive finite integral non-singular terminal synergetic control of nth-order nonlinear systems', Mechanical Systems and Signal Processing, 142, http://dx.doi.org/10.1016/j.ymssp.2020.106789

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, 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, 50, pp. 3059 - 3071, http://dx.doi.org/10.1109/TSMC.2018.2836922

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, 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, 512, pp. 481 - 505, http://dx.doi.org/10.1016/j.ins.2019.10.001

Ali S; Al Dhaheri M; Dawson P; Anavatti S, 2020, 'Autonomous water sampling payload design', International Review of Aerospace Engineering, 13, pp. 120 - 125, http://dx.doi.org/10.15866/irease.v13i3.18374

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, 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; 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, 51, pp. 5664 - 5673, 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, 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, 28, http://dx.doi.org/10.1109/TFUZZ.2019.2943813

Ferdaus MM; Anavatti SG; Garratt MA; Pratama M, 2019, 'Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle', Journal of Artificial Intelligence and Soft Computing Research, 9, pp. 99 - 109, http://dx.doi.org/10.2478/jaiscr-2018-0027

Santoso F; Garratt M; Anavatti S, 2019, 'Hybrid PD-Fuzzy and PD Controllers for Trajectory Tracking of a Quadrotor Unmanned Aerial Vehicle: Autopilot Designs and Real-Time Flight Tests', IEEE Transactions on Systems Man and Cybernetics: Systems, 51, pp. 1817 - 1829, http://dx.doi.org/10.1109/TSMC.2019.2906320

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA, 2019, 'Online identification of a rotary wing Unmanned Aerial Vehicle from data streams', Applied Soft Computing Journal, 76, pp. 313 - 325, http://dx.doi.org/10.1016/j.asoc.2018.12.013

Biswas S; Anavatti SG; Garratt MA, 2019, 'A time-efficient co-operative path planning model combined with task assignment for multi-agent systems', Robotics, 8, http://dx.doi.org/10.3390/ROBOTICS8020035

Debie E; Fernandez Rojas R; Fidock J; Barlow M; Kasmarik K; Anavatti S; Garratt M; Abbass H, 2019, 'Multi-Modal Fusion for Objective Assessment of Cognitive Workload: A Review', IEEE Transactions on Cybernetics, 51, pp. 1542 - 1555, http://dx.doi.org/10.1109/TCYB.2019.2939399

Biswas S; Anavatti S; Krippner HP, 2018, 'Particle swarm optimization based real time path planning and obstacle avoidance of UAVs using low cost sensors', International Journal for Research in Applied Science and Engineering Technology (IJRASET), https://www.ijraset.com/fileserve.php?FID=16268

Francis SLX; Anavatti SG; Garratt M, 2018, 'Real-time path planning module for autonomous vehicles in cluttered environment using a 3D camera', International Journal of Vehicle Autonomous Systems, 14, pp. 40 - 61, http://dx.doi.org/10.1504/IJVAS.2018.093106

Garratt M; Francis SLX; Anavatti SG, 2018, 'Real-time path planning module for autonomous vehicles in cluttered environment using a 3D camera', International Journal of Vehicle Autonomous Systems, 14, pp. 40 - 40, http://dx.doi.org/10.1504/ijvas.2018.10014269

Pratama M; Lughofer E; Er MJ; Anavatti S; Lim CP, 2017, 'Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network', Neurocomputing, 262, pp. 4 - 27, http://dx.doi.org/10.1016/j.neucom.2016.10.093

Alam K; Ray T; Anavatti SG, 2017, 'Design Optimization of an Unmanned Underwater Vehicle Using Low- A nd High-Fidelity Models', IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47, pp. 2794 - 2808, http://dx.doi.org/10.1109/TSMC.2015.2390592

Li C; Anavatti SG; Ray T, 2017, 'A Path-Based Solution Algorithm for Dynamic Traffic Assignment', Networks and Spatial Economics, 17, pp. 841 - 860, http://dx.doi.org/10.1007/s11067-017-9346-1

Anavatti SG, 2017, 'Aggressive formation flying of fixedwing UAVs with Differential Geometric Guidance', Unmanned Systems, 5, pp. 97 - 113, http://dx.doi.org/10.1142/S2301385017500078

Za'in C; Pratama M; Lughofer E; Anavatti SG, 2017, 'Evolving type-2 web news mining', Applied Soft Computing Journal, 54, pp. 200 - 220, http://dx.doi.org/10.1016/j.asoc.2016.11.034

Halder KK; Paul M; Tahtali M; Anavatti SG; Murshed M, 2017, 'Correction of geometrically distorted underwater images using shift map analysis', Journal of the Optical Society of America A: Optics and Image Science, and Vision, 34, pp. 666 - 673, http://dx.doi.org/10.1364/JOSAA.34.000666

Santoso F; Anavatti SG; Garratt MA, 2017, 'State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles', IEEE Transactions on Automation Science and Engineering, 15, pp. 613 - 627, http://dx.doi.org/10.1109/TASE.2017.2651109

Pratama M; Zhang G; Er MJ; Anavatti S, 2017, 'An Incremental Type-2 Meta-Cognitive Extreme Learning Machine', IEEE Transactions on Cybernetics, 47, pp. 339 - 353, http://dx.doi.org/10.1109/TCYB.2016.2514537

Wang J; Garratt MA; Anavatti SG, 2017, 'Real-time path planning algorithm for autonomous vehicles in unknown environments', International Journal of Mechatronics and Automation, 6, pp. 1 - 9, http://dx.doi.org/10.1504/IJMA.2017.093238

Santoso F; Garratt MA; Anavatti SG, 2017, 'Visual-inertial navigation systems for aerial robotics: Sensor fusion and technology', IEEE Transactions on Automation Science and Engineering, 14, pp. 260 - 275, http://dx.doi.org/10.1109/TASE.2016.2582752

Anavatti SG; Garratt MA; Wang J, 2017, 'Real-time path planning algorithm for autonomous vehicles in unknown environments', International Journal of Mechatronics and Automation, 6, pp. 1 - 1, http://dx.doi.org/10.1504/ijma.2017.10014343

Hassanein O; Anavatti SG; Shim H; Ray T, 2016, 'Model-based adaptive control system for autonomous underwater vehicles', Ocean Engineering, 127, pp. 58 - 69, http://dx.doi.org/10.1016/j.oceaneng.2016.09.034

Tehrani MH; Garratt MA; Anavatti SG, 2016, 'Low-altitude horizon-based aircraft attitude estimation using UV-filtered panoramic images and optic flow', IEEE Transactions on Aerospace and Electronic Systems, 52, pp. 2362 - 2375, http://dx.doi.org/10.1109/TAES.2016.14-0534

Pratama M; Lu J; Lughofer E; Zhang G; Anavatti S, 2016, 'Scaffolding type-2 classifier for incremental learning under concept drifts', Neurocomputing, 191, pp. 304 - 329, http://dx.doi.org/10.1016/j.neucom.2016.01.049

Pratama M; Lu J; Lughofer E; Zhang G; Anavatti S, 2016, 'Scaffolding type-2 classifier for incremental learning under concept drifts', Neurocomputing, 191, pp. 304 - 329, http://dx.doi.org/10.1016/j.neucom.2016.01.049

Halder KK; Tahtali M; Anavatti SG, 2016, 'Moving object detection and tracking in videos through turbulent medium', Journal of Modern Optics, 63, pp. 1015 - 1021, http://dx.doi.org/10.1080/09500340.2015.1117665

Pratama M; Lu J; Anavatti S; Lughofer E; Lim CP, 2016, 'An incremental meta-cognitive-based scaffolding fuzzy neural network', Neurocomputing, 171, pp. 89 - 105, http://dx.doi.org/10.1016/j.neucom.2015.06.022

Pratama M; Anavatti SG; Lu J, 2015, 'Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm', IEEE Transactions on Fuzzy Systems, 23, pp. 2048 - 2066, http://dx.doi.org/10.1109/TFUZZ.2015.2402683


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