By Dr Fendy Santoso

Book Chapters

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

Al-Mahturi A; Santoso F; Garratt M; Anavatti S, 2021, 'Modeling and control of a quadrotor unmanned aerial vehicle using type-2 fuzzy systems', in Koubaa A; Azar AT (ed.), Unmanned Aerial Systems Theoretical Foundation and Applications, Academic Press, pp. 25 - 46, http://dx.doi.org/10.1016/B978-0-12-820276-0.00009-1

Santoso F; Garratt MA; Anavatti SG; Wang J, 2021, 'Evolutionary aerial robotics: the human way of learning', in Unmanned Aerial Systems: Theoretical Foundation and Applications, 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, 'Modeling and control of a quadrotor unmanned aerial vehicle using type-2 fuzzy systems', in Unmanned Aerial Systems: Theoretical Foundation and Applications, pp. 25 - 46, http://dx.doi.org/10.1016/b978-0-12-820276-0.00009-1

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/

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, NY, USA

Santoso F; Garratt M; Anavatti S; Ferdaus M; Wang J; Tran V, 2020, 'Evolutionary Aerial Robotics: The Human Way of Learning', in Koubaa A; Azar AT (ed.), Unmanned Aerial Systems: Theoretical Foundation and Applications, Elsevier

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://novapublishers.com/shop/intelligent-marine-and-aerial-vehicles-theory-and-applications/

Journal articles

Santoso F; Finn A, 2024, 'An In-Depth Examination of Artificial Intelligence-Enhanced Cybersecurity in Robotics, Autonomous Systems, and Critical Infrastructures', IEEE Transactions on Services Computing, 17, pp. 1293 - 1310, http://dx.doi.org/10.1109/TSC.2023.3331083

Santoso F; Finn A, 2024, 'Trusted Operations of a Military Ground Robot in the Face of Man-in-the-Middle Cyberattacks Using Deep Learning Convolutional Neural Networks: Real-Time Experimental Outcomes', IEEE Transactions on Dependable and Secure Computing, 21, pp. 2273 - 2284, http://dx.doi.org/10.1109/TDSC.2023.3302807

Al-Mahturi A; Santoso F; Garratt MA; Anavatti SG, 2023, 'A Novel Evolving Type-2 Fuzzy System for Controlling a Mobile Robot under Large Uncertainties', Robotics, 12, http://dx.doi.org/10.3390/robotics12020040

Haseeb A; Edla M; Ucgul M; Santoso F; Deguchi M, 2023, 'A Voltage Doubler Boost Converter Circuit for Piezoelectric Energy Harvesting Systems', Energies, 16, http://dx.doi.org/10.3390/en16041631

Santoso F; Finn A, 2023, 'A Data-Driven Cyber-Physical System Using Deep-Learning Convolutional Neural Networks: Study on False-Data Injection Attacks in an Unmanned Ground Vehicle Under Fault-Tolerant Conditions', IEEE Transactions on Systems, Man, and Cybernetics: Systems, 53, pp. 346 - 356, http://dx.doi.org/10.1109/TSMC.2022.3170071

Tran VP; Santoso F; Garratt MA; Petersen IR, 2021, 'Distributed Formation Control Using Fuzzy Self-Tuning of Strictly Negative Imaginary Consensus Controllers in Aerial Robotics', IEEE/ASME Transactions on Mechatronics, 26, pp. 2306 - 2315, http://dx.doi.org/10.1109/TMECH.2020.3036829

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, 57, pp. 1742 - 1752, http://dx.doi.org/10.1109/TAES.2020.3048778

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

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

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, 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

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

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, 78, pp. 373 - 392, http://dx.doi.org/10.1016/j.asoc.2019.02.023

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

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

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

Santoso F; Garratt MA; Pickering MR; Asikuzzaman M, 2015, '3D-Mapping for Visualisation of Rigid Structures: A Review and Comparative Study', IEEE Sensors Journal, 16, pp. 1484 - 1507, http://dx.doi.org/10.1109/JSEN.2015.2498940

Santoso F; Redmond SJ, 2015, 'Indoor location-aware medical systems for smart homecare and telehealth monitoring: state-of-the-art', Physiological Measurement, 36, pp. R53 - R87, http://dx.doi.org/10.1088/0967-3334/36/10/R53

Santoso F; Liu M; Egan GK, 2015, 'Robust μ-synthesis Loop Shaping for Altitude Flight Dynamics of a Flying-Wing Airframe', Journal of Intelligent and Robotic Systems: Theory and Applications, 79, pp. 259 - 273, http://dx.doi.org/10.1007/s10846-014-0059-0

Santoso F, 2015, 'Range-only distributed navigation protocol for uniform coverage in wireless sensor networks', IET Wireless Sensor Systems, 5, pp. 20 - 30, http://dx.doi.org/10.1049/iet-wss.2013.0098

Santoso F, 2015, 'A New Framework for Rapid Wireless Tracking Verifications Based on Optimized Trajectories in Received Signal Strength Measurements', IEEE Transactions on Systems, Man, and Cybernetics: Systems, 45, pp. 1424 - 1436, http://dx.doi.org/10.1109/TSMC.2015.2398834

Liu M; Egan GK; Santoso F, 2015, 'Modeling, Autopilot Design, and Field Tuning of a UAV With Minimum Control Surfaces', IEEE Transactions on Control Systems Technology, 23, pp. 2353 - 2360, http://dx.doi.org/10.1109/TCST.2015.2398316

Santoso F; Liu M; Egan GK, 2014, 'Robust μ-synthesis Loop Shaping for Altitude Flight Dynamics of a Flying-Wing Airframe', Journal of Intelligent & Robotic Systems, http://dx.doi.org/10.1007/s10846-014-0059-0

Saragih H; Santoso F, 2014, 'Differential maximum ratio combining (MRC)-based throughput analysis on dual-fading models of Slotted-ALOHA CDMA systems', International Journal of Wireless Information Networks, 21, pp. 154 - 160, http://dx.doi.org/10.1007/s10776-014-0237-9

Saragih H; Santoso F, 2011, 'Capture Delay Analysis on the Throughputs of Direct-Sequence Code Division Multiple Access (DS-CDMA) with Slotted-ALOHA (S-ALOHA) Systems over Nakagami/Nakagami Fading Channels', Int J Wireless Inf Networks, 18, pp. 186 - 192, http://dx.doi.org/10.1007/s10776-011-0144-2

Santoso F, 2010, 'Sub-optimal decentralised control algorithms for blanket and k-barrier coverage in autonomous robotic wireless sensor networks', IET Communications, 4, pp. 2041 - 2057, http://dx.doi.org/10.1049/iet-com.2010.0112

Saragih H; Santoso F, 2009, 'Throughput analysis of adaptive slotted-ALOHA CDMA over a multipath fading channel with capture effects', International Journal of Wireless Information Networks, 16, pp. 217 - 224, http://dx.doi.org/10.1007/s10776-009-0098-9

Santoso F; Liu M; Egan G, 2008, 'H2 and H∞ robust autopilot synthesis for longitudinal flight of a special unmanned aerial vehicle: A comparative study', IET Control Theory and Applications, 2, pp. 583 - 594, http://dx.doi.org/10.1049/iet-cta:20070415

Santoso F; Liu M; Egan G, 2008, 'Root Locus Based Autopilot PID's Parameters Tuning for a Flying Wing Unmanned Aerial Vehicle', JOURNAL OF ENGINEERING AND TECHNOLOGICAL SCIENCES, 40, pp. 14 - 39, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000215789600002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Santoso F, 2008, 'Welch Based Denoising Technique for a Set of Chirp Signals Corrupted by Gaussian Noises', JOURNAL OF ICT RESEARCH AND APPLICATIONS, 2, pp. 115 - 129, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000442771300003&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Conference Papers

Santoso F; Finn A, 2024, 'A ROS-Based Data-Driven Motion Self-Recognition System Using Deep-Learning Convolutional Neural Networks in a Military Unmanned Ground Vehicle', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN60899.2024.10650099

Santoso F; Garratt MA; Anavatti SG; Wang J; Tran PV; Ferdaus MM, 2024, 'Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties', in 2024 European Control Conference, ECC 2024, pp. 3777 - 3782, http://dx.doi.org/10.23919/ECC64448.2024.10591274

Al-Mahturi A; Santoso F; Garratt MA; Anavatti SG, 2020, 'Online System Identification for Nonlinear Uncertain Dynamical Systems Using Recursive Interval Type-2 TS Fuzzy C-means Clustering', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 1695 - 1701, http://dx.doi.org/10.1109/SSCI47803.2020.9308202

Al-Mahturi A; Santoso F; Garratt M; Anavatti S, 2020, 'A Simplified Model-Free Self-Evolving TS Fuzzy Controller for Nonlinear Systems with Uncertainties', in IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS2020), IEEE, Italy, presented at IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS2020), Italy, http://dx.doi.org/10.1109/EAIS48028.2020.9122771

Al-Mahturi A; Santoso F; Garratt M; Anavatti S; Ferdaus MM, 2019, 'Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data', IEEE, China, presented at IEEE Symposium Series on Computational Intelligence, China, 06 September 2019 - 09 September 2019, http://dx.doi.org/10.1109/SSCI44817.2019.9003012

Al-Mahturi A; Santoso F; Garratt M; Anavatti S, 2019, 'A Robust Adaptive Interval Type-2 Fuzzy Control for Autonomous Underwater Vehicles', IEEE, Bali, Indonesia, presented at IEEE International Conference on Industry 4.0, Artificial Intelligence, and Communications Technology (IAICT), Bali, Indonesia, 01 July 2019 - 03 July 2019, http://dx.doi.org/10.1109/ICIAICT.2019.8784855

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