Dr Sreenatha Anavatti

Senior Lecturer
School of Engineering and Information Technology
+61 2 6268 8079
+61 2 626 8581

LOCATION

Building 17 Room 203
School of Engineering and Information Technology, The University of New South Wales, Australian Defence Force Academy, PO Box 7916, Canberra BC ACT 2610, AUSTRALIA

  • ABOUT
  • PUBLICATIONS

Research Experience
 

  • Application of Fuzzy Logic and Neural Network for Aerospace Applications like Wing Rock
  • Attitude Controller for Flexible Spacecraft
  • Control of Flexible Robotic Arms
  • Design and Analysis of Robust Autopilots for Aircraft and Missiles

Teaching Experience

Assistant Professor (1991 to 1997) at Indian Institute of Technology, Bombay, India; Associate Professor (1997 to 1998) at Indian Institute of Technology, Bombay, India; Lecturer (1998 to 2001) & Senior Lecturer (2001-) at University of New South Wales, ADFA Campus, Canberra. In these positions, I have taught in Flight Mechanics, Flight Control Systems, Missile Guidance, Spacecraft Dynamics, Orbital Mechanics, Classical and Modern Control Theory.

Consulting Interests

Flight Dynamics, Design of Autopilots for Aircraft and Missiles, Flexible Spacecraft Dynamics and Control, Active Vibration Control, Application of Fuzzy and Neural Network for Practical Applications

 

 

Book Chapters

Hassanein O; Anavatti S; Ray T, 2018, 'Autonomous Underwater Vehicles', in Meng Joo E (ed.), , Nova Publishers

Al-Mahasneh AJ; Anavatti S; Garratt M; Pratama M, 2018, 'Applications of General Regression Neural Networks in Dynamic Systems', in , 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

Anavatti SG; ray T, 2016, 'A Game-Theoretic Approach to the Analysis of Traffic Assignment', in singh H (ed.), Intelligent and Evolutionary Systems The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings, Springer, pp. 17 - 30, http://dx.doi.org/10.1007/978-3-319-49049-6_2

Anavatti SG; li C; ray T, 2016, 'A game-theoretic approach to the analysis of Traffic Assignment', in Intelligent and Evolutionary Systems The 20th Asia Pacific Symposium, IES 2016, Canberra, Australia, November 2016, Proceedings, Springer, pp. 17 - 30, http://dx.doi.org/10.1007/978-3-319-49049-6_2

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

Hassanein O; Anavatti SG; Ray T, 2013, 'On-line adaptive fuzzy modeling and control for autonomous underwater vehicle', in Studies in Computational Intelligence, Springer, Heidelberg, pp. 57 - 70, http://dx.doi.org/10.1007/978-3-642-37387-9_4

Anavatti SG, 2012, 'An Evolutionary Approach for the Design of Autonomous Underwater Vehicles', in An Evolutionary Approach for the Design of Autonomous Underwater Vehicles, http://dx.doi.org/10.1007/978-3-642-35101-3_24

anavatti S, 2007, 'Comparative Analysis of Multiple Neural Networks for Online Identification of a UAV', in Comparative Analysis of Multiple Neural Networks for Online Identification of a UAV, http://link.springer.com/chapter/10.1007/978-3-540-76928-6_14

Anavatti SG; anavatti SG, 2007, 'Application of Extended Kalman Filter Towards UAV Identification', in Application of Extended Kalman Filter Towards UAV Identification, http://dx.doi.org/10.1007/978-3-540-73424-6_23

Journal articles

Ferdaus MM; Pratama M; Anavatti SG; Garratt MA; Lughofer E, 2019, 'PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles', Information Sciences, http://dx.doi.org/10.1016/j.ins.2019.10.001

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

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

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

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

Ferdaus MM; Pratama M; Anavatti S; Garratt MA; Pan Y, 2019, 'Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-inspired Unmanned Aerial Vehicles', IEEE Transactions on Fuzzy Systems, http://dx.doi.org/10.1109/TFUZZ.2019.2917808

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, http://dx.doi.org/10.1109/TSMC.2019.2906320

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, vol. 9, pp. 99 - 109, http://dx.doi.org/10.2478/jaiscr-2018-0027

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, vol. 76, pp. 313 - 325, http://dx.doi.org/10.1016/j.asoc.2018.12.013

Ferdaus MM; Anavatti SG; Pratama M; Garratt MA, 2018, 'Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review', Artificial Intelligence Review, http://dx.doi.org/10.1007/s10462-018-9653-z

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, vol. 14, pp. 40 - 61, http://dx.doi.org/10.1504/IJVAS.2018.093106

Santoso F; Garratt MA; Anavatti SG; Petersen I, 2018, 'Robust Hybrid Nonlinear Control Systems for the Dynamics of a Quadcopter Drone', IEEE Transactions on Systems, Man, and Cybernetics: Systems, http://dx.doi.org/10.1109/TSMC.2018.2836922

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

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, vol. 47, pp. 2794 - 2808, http://dx.doi.org/10.1109/TSMC.2015.2390592

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

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

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, vol. 262, pp. 4 - 27, http://dx.doi.org/10.1016/j.neucom.2016.10.093

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, vol. 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, vol. 15, pp. 613 - 627, http://dx.doi.org/10.1109/TASE.2017.2651109

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

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

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, vol. 14, pp. 260 - 275, http://dx.doi.org/10.1109/TASE.2016.2582752

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, vol. 52, pp. 2362 - 2375, http://dx.doi.org/10.1109/TAES.2016.14-0534

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

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

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

Pratama M; Lu J; Lughofer E; Zhang G; Anavatti S, 2016, 'Scaffolding type-2 classifier for incremental learning under concept drifts', Neurocomputing, vol. 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, vol. 63, pp. 1015 - 1021, http://dx.doi.org/10.1080/09500340.2015.1117665

Anavatti SG; Francis S; garratt M, 2015, 'A ToF-camera as a 3D Vision Sensor for Autonomous Mobile Robotics', International Journal of Advanced Robotic Systems, vol. 12, http://dx.doi.org/10.5772/61348

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

Halder KK; Tahtali M; Anavatti SG, 2015, 'Geometric correction of atmospheric turbulence-degraded video containing moving objects', Optics Express, vol. 23, pp. 5091 - 5101, http://dx.doi.org/10.1364/OE.23.005091

Halder KK; Tahtali M; Anavatti SG, 2014, 'Simple and efficient approach for restoration of non-uniformly warped images', Applied Optics, vol. 53, pp. 5576 - 5584, http://dx.doi.org/10.1364/AO.53.005576

Halder KK; Tahtali M; Anavatti SG, 2014, 'Model-free prediction of atmospheric warp based on artificial neural network', Applied Optics, vol. 53, pp. 7087 - 7094, http://dx.doi.org/10.1364/AO.53.007087

Halder KK; Tahtali M; Anavatti SG, 2014, 'Simple algorithm for correction of geometrically warped underwater images', Electronics Letters, vol. 50, pp. 1687 - 1689, http://dx.doi.org/10.1049/el.2014.3142

Pratama M; Anavatti S; Er MJ; Lughofer E, 2014, 'pClass: An Effective Classifier to Streaming Examples', IEEE Transactions on Fuzzy Systems, vol. 23, pp. 1 - 1, http://dx.doi.org/10.1109/TFUZZ.2014.2312983

Alam K; Ray T; Anavatti SG, 2014, 'Design and construction of an autonomous underwater vehicle', Neurocomputing, vol. 142, pp. 16 - 29, http://dx.doi.org/10.1016/j.neucom.2013.12.055

Halder KK; Tahtali M; Anavatti SG, 2014, 'An Artificial Neural Network Approach for Underwater Warp Prediction', Artificial Intelligence: Methods and Applications, Lecture Notes in Computer Science, vol. 8445, pp. 384 - 394, http://dx.doi.org/10.1007/978-3-319-07064-3_31

Alam K; Ray T; Anavatti SG, 2014, 'A brief taxonomy of autonomous underwater vehicle design literature', Ocean Engineering, vol. 88, pp. 627 - 630, http://dx.doi.org/10.1016/j.oceaneng.2014.04.027

Pratama M; Sreenatha AG; Lughofer ED, 2013, 'GENFIS: Towards An Effective Localist Network', IEEE Transactions on Fuzzy Systems, vol. 22, pp. 547 - 562, http://dx.doi.org/10.1109/TFUZZ.2013.2264938

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