Suppression of wing rock of slender delta wings using a single neuron controller. - Santosh V. Joshi; Sreenatha Gopalarao Anavatti; J. Chandrasekhar (IEEE Trans. Control. Syst. Technol., 1998)

Nonlinear observer for nonlinear adaptive guidance law considering target uncertainties and control loop dynamics. - Dongkyoung Chwa; A. G. Sreenatha; Ki Hong Im; Jin Young Choi 002; Jin H. Seo (ECC, 2003)

An Experience with the Neural Network for Auto-Landing System of an Aircraft. - Sreenatha G. Anavatti; Choi J. Young; Francois Pichery (ICEIS (2), 2004)

Fuzzy + PID Controller for Robot Manipulator. - Sreenatha G. Anavatti; Shaaban Ali Salman; Jin Young Choi 002 (CIMCA/IAWTIC, 2006)

UAV Linear and Nonlinear Estimation Using Extended Kalman Filter. - Abhijit G. Kallapur; Sreenatha G. Anavatti (CIMCA/IAWTIC, 2006)

Real-Time Neural Network Based Online Identification Technique for a UAV Platform. - Vishwas R. Puttige; Sreenatha G. Anavatti (CIMCA/IAWTIC, 2006)

Observer-based adaptive guidance law considering target uncertainties and control loop dynamics. - Dongkyoung Chwa; Jin Young Choi 002; Sreenatha G. Anavatti (IEEE Trans. Control. Syst. Technol., 2006)

Comparative Analysis of Multiple Neural Networks for Online Identification of a UAV. - Vishwas R. Puttige; Sreenatha G. Anavatti; Tapabrata Ray (Australian Conference on Artificial Intelligence, 2007)

Comparison of Real-time Online and Offline Neural Network Models for a UAV. - Vishwas R. Puttige; Sreenatha G. Anavatti (IJCNN, 2007)

Real-time multi-network based identification with dynamic selection implemented for a low cost UAV. - Vishwas R. Puttige; Sreenatha G. Anavatti (SMC, 2007)

Development of a memetic algorithm for Dynamic Multi-Objective Optimization and its applications for online neural network modeling of UAVs. - Amitay Isaacs; Vishwas R. Puttige; Tapabrata Ray; Warren F. Smith; Sreenatha G. Anavatti (IJCNN, 2008)

A UKF-NN Framework for System Identification of Small Unmanned Aerial Vehicles. - Abhijit G. Kallapur; Mahendra Kumar Samal; Vishwas R. Puttige; Sreenatha G. Anavatti; Matthew Garratt (ITSC, 2008)

Real-time System Identification of Unmanned Aerial Vehicles: A Multi-Network Approach. - Vishwas R. Puttige; Sreenatha G. Anavatti (J. Comput., 2008)

A discrete-time robust extended Kalman filter. - Abhijit G. Kallapur; Ian R. Petersen; Sreenatha G. Anavatti (ACC, 2009)

A Discrete-Time Robust Extended Kalman Filter for Uncertain Systems With Sum Quadratic Constraints. - Abhijit G. Kallapur; Ian R. Petersen; Sreenatha G. Anavatti (IEEE Trans. Autom. Control., 2009)

Design of a toy submarine using underwater vehicle design optimization framework. - Khairul Alam; Tapabrata Ray; Sreenatha G. Anavatti (CIVTS, 2011)

Reconstructing the geometry of an object using 3D TOF Camera. - Sobers L. X. Francis; Sreenatha G. Anavatti; Matthew A. Garratt (CompSens, 2011)

Dynamic model of autonomous ground vehicle for the path planning module. - Sobers L. X. Francis; Sreenatha G. Anavatti; Matthew A. Garratt (ICARA, 2011)

Model Based Path Planning Module. - Sobers L. X. Francis; Sreenatha G. Anavatti; Matthew A. Garratt (ICARA (selected extended papers), 2011)

Fuzzy modeling and control for Autonomous Underwater Vehicle. - Osama Hassanein; Sreenatha G. Anavatti; Tapabrata Ray (ICARA, 2011)

On-Line Adaptive Fuzzy Modeling and Control for Autonomous Underwater Vehicle. - Osama Hassanein; Sreenatha G. Anavatti; Tapabrata Ray (ICARA (selected extended papers), 2011)

An Evolutionary Approach for the Design of Autonomous Underwater Vehicles. - Khairul Alam; Tapabrata Ray; Sreenatha G. Anavatti (Australasian Conference on Artificial Intelligence, 2012)

Motion Detection and Velocity Estimation for Obstacle Avoidance using 3D Point Clouds. - Sobers L. X. Francis; Sreenatha G. Anavatti; Matthew A. Garratt (ICINCO (2), 2012)

Adaptive route guidance system with real-time traffic information. - Caixia Li; Sreenatha Gopalarao Anavatti; Tapabrata Ray (ITSC, 2012)

Neural Network Based Model Predictive Controller for Simplified Heave Model of an Unmanned Helicopter. - Mahendra Kumar Samal; Sreenatha G. Anavatti; Matthew A. Garratt (SEMCCO, 2012)

Non-linear Control of Heave for an Unmanned Helicopter Using a Neural Network. - Matthew A. Garratt; Sreenatha G. Anavatti (J. Intell. Robotic Syst., 2012)

High Precision Restoration Method for Non-uniformly Warped Images. - Kalyan Kumar Halder; Murat Tahtali; Sreenatha G. Anavatti (ACIVS, 2013)

An Improved Restoration Method for Non-Uniformly Warped Images Using Optical Flow Technique. - Kalyan Kumar Halder; Murat Tahtali; Sreenatha G. Anavatti (DICTA, 2013)

Online identification of complex multi-input-multi-output system based on generic evolving neuro-fuzzy inference system. - Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt; Edwin Lughofer (EAIS, 2013)

Evolving fuzzy rule-based classifier based on GENEFIS. - Mahardhika Pratama; Sreenatha G. Anavatti; Edwin Lughofer (FUZZ-IEEE, 2013)

Real time cooperative path planning for multi-autonomous vehicles. - Sobers L. X. Francis; Sreenatha G. Anavatti; Matthew A. Garratt (ICACCI, 2013)

A fast restoration method for atmospheric turbulence degraded images using non-rigid image registration. - Kalyan Kumar Halder; Murat Tahtali; Sreenatha G. Anavatti (ICACCI, 2013)

3D tools for the Robust Design Optimization of an Autonomous Underwater Vehicle. - Andrey Kirsanov; Sreenatha G. Anavatti; Tapabrata Ray (ICACCI, 2013)

Application of a non-cooperative game theory based traffic assignment. - Caixia Li; Sreenatha Gopalarao Anavatti; Tapabrata Ray (ICACCI, 2013)

A new pixel shiftmap prediction method based on Generalized Regression Neural Network. - Kalyan Kumar Halder; Murat Tahtali; Sreenatha G. Anavatti (ISSPIT, 2013)

A new image restoration approach for imaging through the atmosphere. - Kalyan Kumar Halder; Murat Tahtali; Sreenatha G. Anavatti (ISSPIT, 2013)

A game theory based traffic assignment using queueing networks. - Caixia Li; Sreenatha G. Anavatti; Tapabrata Ray (ITST, 2013)

Hybrid Neuro-Fuzzy Network Identification for Autonomous Underwater Vehicles. - Osama Hassanein; Sreenatha G. Anavatti; Tapabrata Ray (SEMCCO (2), 2013)

Path Planning for the Autonomous Underwater Vehicle. - Andrey Kirsanov; Sreenatha G. Anavatti; Tapabrata Ray (SEMCCO (2), 2013)

Black-Box Tool for nonlinear System Identification Based upon Fuzzy System. - Osama Hassanein; Sreenatha G. Anavatti; Tapabrata Ray (Int. J. Comput. Intell. Appl., 2013)

Practical application of an evolutionary algorithm for the design and construction of a six-inch submarine. - Khairul Alam; Tapabrata Ray; Sreenatha G. Anavatti (IEEE Congress on Evolutionary Computation, 2014)

A recurrent meta-cognitive-based Scaffolding classifier from data streams. - Mahardhika Pratama; Jie Lu 001; Sreenatha G. Anavatti; José Antonio Iglesias 001 (EALS, 2014)

A novel meta-cognitive-based scaffolding classifier to sequential non-stationary classification problems. - Mahardhika Pratama; Meng Joo Er; Sreenatha G. Anavatti; Edwin Lughofer; Ning Wang 002; Imam Arifin (FUZZ-IEEE, 2014)

Motion recovery using the image interpolation algorithm and an RGB-D camera. - Jiefei Wang; Matthew A. Garratt; Ping Li 007; Sreenatha G. Anavatti (ROBIO, 2014)

An Artificial Neural Network Approach for Underwater Warp Prediction. - Kalyan Kumar Halder; Murat Tahtali; Sreenatha G. Anavatti (SETN, 2014)

An Incremental Classifier from Data Streams. - Mahardhika Pratama; Sreenatha G. Anavatti; Edwin Lughofer (SETN, 2014)

Design and construction of an autonomous underwater vehicle. - Khairul Alam; Tapabrata Ray; Sreenatha G. Anavatti (Neurocomputing, 2014)

GENEFIS: Toward an Effective Localist Network. - Mahardhika Pratama; Sreenatha G. Anavatti; Edwin Lughofer (IEEE Trans. Fuzzy Syst., 2014)

Analytical Hierarchy Process Using Fuzzy Inference Technique for Real-Time Route Guidance System. - Caixia Li; Sreenatha Gopalarao Anavatti; Tapabrata Ray (IEEE Trans. Intell. Transp. Syst., 2014)

PANFIS: A Novel Incremental Learning Machine. - Mahardhika Pratama; Sreenatha G. Anavatti; Plamen P. Angelov; Edwin Lughofer (IEEE Trans. Neural Networks Learn. Syst., 2014)

Auto-generating fuzzy system modelling of physical systems. - Osama Hassanein; Sreenatha G. Anavatti; Hyungbo Shim; Shaaban Ali Salman (CCA, 2015)

Dominant plane detection using a RGB-D camera for autonomous navigation. - Jiefei Wang; Matthew A. Garratt; Sreenatha G. Anavatti (ICARA, 2015)

Real-time visual odometry for autonomous MAV navigation using RGB-D camera. - Jiefei Wang; Matthew A. Garratt; Sreenatha G. Anavatti; Shanggang Lin (ROBIO, 2015)

pClass: An Effective Classifier for Streaming Examples. - Mahardhika Pratama; Sreenatha G. Anavatti; Meng Joo Er; Edwin Lughofer (IEEE Trans. Fuzzy Syst., 2015)

Recurrent Classifier Based on an Incremental Metacognitive-Based Scaffolding Algorithm. - Mahardhika Pratama; Sreenatha G. Anavatti; Jie Lu 001 (IEEE Trans. Fuzzy Syst., 2015)

A Centroid Algorithm for Stabilization of Turbulence-Degraded Underwater Videos. - Kalyan Kumar Halder; Manoranjan Paul; Murat Tahtali; Sreenatha G. Anavatti; M. Manzur Murshed (DICTA, 2016)

A hybrid algorithm for efficient path planning of autonomous ground vehicles. - Sreenatha G. Anavatti; Sumana Biswas; Jedd T. Colvin; Mahardhika Pratama (ICARCV, 2016)

Simultaneous replanning with vectorized particle swarm optimization algorithm. - Sumana Biswas; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (ICARCV, 2016)

Proceedings in Adaptation, Learning and Optimization. - Sumana Biswas; Sreenatha G. Anavatti; Matthew A. Garratt (IES, 2016)

Proceedings in Adaptation, Learning and Optimization. - Caixia Li; Sreenatha G. Anavatti; Tapabrata Ray; Hyungbo Shim (IES, 2016)

An incremental meta-cognitive-based scaffolding fuzzy neural network. - Mahardhika Pratama; Jie Lu 001; Sreenatha G. Anavatti; Edwin Lughofer; Chee Peng Lim (Neurocomputing, 2016)

Scaffolding type-2 classifier for incremental learning under concept drifts. - Mahardhika Pratama; Jie Lu 001; Edwin Lughofer; Guangquan Zhang 001; Sreenatha G. Anavatti (Neurocomputing, 2016)

Low-altitude horizon-based aircraft attitude estimation using UV-filtered panoramic images and optic flow. - Mohsen H. Tehrani; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Aerosp. Electron. Syst., 2016)

Fuzzy clustering based nonlinear system identification and controller development of Pixhawk based quadcopter. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (ICACI, 2017)

Path planning for multi-vehicle autonomous swarms in dynamic environment. - Mudassir Jann; Sreenatha G. Anavatti; Sumana Biswas (ICACI, 2017)

Robust controller design for an autonomous underwater vehicle. - Aamir Wadood; Sreenatha G. Anavatti; Osama Hassanein (ICACI, 2017)

The Vibration Simulation at the Helicopter Pilot's Body Segments in Vertical Direction. - Zeinab Khaksar; Sreenatha G. Anavatti; Krishna Shankar (ICMMI, 2017)

Altitude identification and intelligent control of a flapping wing micro aerial vehicle using modified generalized regression neural networks. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt (SSCI, 2017)

Particle swarm optimization based co-operative task assignment and path planning for multi-agent system. - Sumana Biswas; Sreenatha G. Anavatti; Matthew A. Garratt (SSCI, 2017)

Fuzzy clustering based modelling and adaptive controlling of a flapping wing micro air vehicle. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (SSCI, 2017)

Evolving neuro-fuzzy system based online identification of a bio-inspired flapping wing micro aerial vehicle. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt (SSCI, 2017)

Evolving type-2 web news mining. - Choiru Za'in; Mahardhika Pratama; Edwin Lughofer; Sreenatha G. Anavatti (Appl. Soft Comput., 2017)

Real-time path planning algorithm for autonomous vehicles in unknown environments. - Jiefei Wang; Matthew A. Garratt; Sreenatha G. Anavatti (Int. J. Mechatronics Autom., 2017)

Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network. - Mahardhika Pratama; Edwin Lughofer; Meng Joo Er; Sreenatha G. Anavatti; Chee Peng Lim (Neurocomputing, 2017)

Visual-Inertial Navigation Systems for Aerial Robotics: Sensor Fusion and Technology. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans Autom. Sci. Eng., 2017)

An Incremental Type-2 Meta-Cognitive Extreme Learning Machine. - Mahardhika Pratama; Guangquan Zhang 001; Meng Joo Er; Sreenatha G. Anavatti (IEEE Trans. Cybern., 2017)

Design Optimization of an Unmanned Underwater Vehicle Using Low- and High-Fidelity Models. - Khairul Alam; Tapabrata Ray; Sreenatha G. Anavatti (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Aggressive Formation Flying of Fixed-Wing UAVs with Differential Geometric Guidance. - Arti Kalra; Sreenatha G. Anavatti; Radhakant Padhi (Unmanned Syst., 2017)

Entropy Fuzzy System Identification for the Dynamics of the Dragonfly-like Flapping Wing Aircraft. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Osama Hassanein (FUZZ-IEEE, 2018)

A Generic Self-Evolving Neuro-Fuzzy Controller Based High-Performance Hexacopter Altitude Control System. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew Garratt (SMC, 2018)

Evolving General Regression Neural Networks using Limited Incremental Evolution for Data-Driven Modeling of Non-linear Dynamic Systems. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (SSCI, 2018)

Nonlinear Altitude Control of a Quadcopter Drone Using Interval Type-2 Fuzzy Logic. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (SSCI, 2018)

A Novel Self-Organizing Neuro-Fuzzy based Intelligent Control System for a AR.Drone Quadcopter. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Mahardhika Pratama; Matthew A. Garratt (SSCI, 2018)

Evolving Spiking Neural Networks for Nonlinear Control Problems. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (SSCI, 2018)

Review of Applications of Generalized Regression Neural Networks in Identification and Control of Dynamic Systems. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt (CoRR, 2018)

Apprenticeship Bootstrapping Via Deep Learning with a Safety Net for UAV-UGV Interaction. - Hung The Nguyen 001; Vu Phi Tran; Tung Nguyen 003; Matthew Garratt; Kathryn Kasmarik; Michael Barlow 001; Sreenatha G. Anavatti; Hussein A. Abbass (CoRR, 2018)

State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans Autom. Sci. Eng., 2018)

An Intelligent Control of an Inverted Pendulum Based on an Adaptive Interval Type-2 Fuzzy Inference System. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (FUZZ-IEEE, 2019)

RedPAC: A Simple Evolving Neuro-Fuzzy-based Intelligent Control Framework for Quadcopter. - Md Meftahul Ferdaus; Mohamad Abdul Hady; Mahardhika Pratama; Harikumar Kandath 001; Sreenatha G. Anavatti (FUZZ-IEEE, 2019)

A Deep Hierarchical Reinforcement Learner for Aerial Shepherding of Ground Swarms. - Hung The Nguyen 001; Tung D. Nguyen; Matthew Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Michael Barlow 001; Hussein A. Abbass (ICONIP (1), 2019)

Encephalographic Assessment of Situation Awareness in Teleoperation of Human-Swarm Teaming. - Raul Fernandez Rojas; Essam Soliman Debie; Justin Fidock; Michael Barlow 001; Kathryn Kasmarik; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (ICONIP (4), 2019)

Evolving General Regression Neural Networks for Learning from Noisy Datasets. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt (SSCI, 2019)

Online Takagi-Sugeno Fuzzy Identification of a Quadcopter Using Experimental Input-Output Data. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Md Meftahul Ferdaus (SSCI, 2019)

Red-FLC: an Adaptive Fuzzy Logic Controller with Reduced Learning Parameters. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (SSCI, 2019)

Comprehensive Learning Particle Swarm Optimisation with Limited Local Search for UAV Path Planning. - Jing Liu 029; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (SSCI, 2019)

Online identification of a rotary wing Unmanned Aerial Vehicle from data streams. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt (Appl. Soft Comput., 2019)

Development of C-Means Clustering Based Adaptive Fuzzy Controller for a Flapping Wing Micro Air Vehicle. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (J. Artif. Intell. Soft Comput. Res., 2019)

A Time-Efficient Co-Operative Path Planning Model Combined with Task Assignment for Multi-Agent Systems. - Sumana Biswas; Sreenatha G. Anavatti; Matthew A. Garratt (Robotics, 2019)

PALM: An Incremental Construction of Hyperplanes for Data Stream Regression. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt (IEEE Trans. Fuzzy Syst., 2019)

A Simplified Model-Free Self-Evolving TS Fuzzy Controller for Nonlinear Systems with Uncertainties. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (EAIS, 2020)

Towards crossing the reality gap with evolved plastic neurocontrollers. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (GECCO, 2020)

Perceptron-Learning for Scalable and Transparent Dynamic Formation in Swarm-on-Swarm Shepherding. - Tung Nguyen 003; Jing Liu 029; Hung The Nguyen 001; Kathryn Kasmarik; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (IJCNN, 2020)

Online System Identification for Nonlinear Uncertain Dynamical Systems Using Recursive Interval Type-2 TS Fuzzy C-means Clustering. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (SSCI, 2020)

Evolving Spiking Neurocontrollers for UAVs. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (SSCI, 2020)

Towards the use of fuzzy logic systems in rotary wing unmanned aerial vehicle: a review. - Md Meftahul Ferdaus; Sreenatha G. Anavatti; Mahardhika Pratama; Matthew A. Garratt (Artif. Intell. Rev., 2020)

Crossing the Reality Gap with Evolved Plastic Neurocontrollers. - Huanneng Qiu; Matthew Garratt; David Howard 001; Sreenatha G. Anavatti (CoRR, 2020)

Continuous Deep Hierarchical Reinforcement Learning for Ground-Air Swarm Shepherding. - Hung The Nguyen 001; Tung Nguyen 003; Vu Phi Tran; Matthew Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Michael Barlow 001; Hussein A. Abbass (CoRR, 2020)

PAC: A novel self-adaptive neuro-fuzzy controller for micro aerial vehicles. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt; Edwin Lughofer (Inf. Sci., 2020)

Generic Evolving Self-Organizing Neuro-Fuzzy Control of Bio-Inspired Unmanned Aerial Vehicles. - Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Matthew A. Garratt; Yongping Pan 001 (IEEE Trans. Fuzzy Syst., 2020)

T2-ETS-IE: A Type-2 Evolutionary Takagi-Sugeno Fuzzy Inference System With the Information Entropy-Based Pruning Technique. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Fuzzy Syst., 2020)

Self-Evolving Neural Control for a Class of Nonlinear Discrete-Time Dynamic Systems With Unknown Dynamics and Unknown Disturbances. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt (IEEE Trans. Ind. Informatics, 2020)

Robust Hybrid Nonlinear Control Systems for the Dynamics of a Quadcopter Drone. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Ian R. Petersen (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Does Adversarial Oversampling Help us? - Tanmoy Dam; Md Meftahul Ferdaus; Sreenatha G. Anavatti; Senthilnath Jayavelu; Hussein A. Abbass (CIKM, 2021)

Battery Energy Storage Placement in a Solar PV Based Distribution System. - P. Nayar; Andrey Miroshnichenko; Sreenatha G. Anavatti (ISGT Asia, 2021)

UGV Path Planning based on an Improved Continuous Ant Colony Optimisation Algorithm. - Jing Liu 029; Aya Hussein; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (SSCI, 2021)

Self-Learning in Aerial Robotics Using Type-2 Fuzzy Systems: Case Study in Hovering Quadrotor Flight Control. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Access, 2021)

Improving ClusterGAN Using Self-AugmentedInformation Maximization of Disentangling LatentSpaces. - Tanmoy Dam; Sreenatha G. Anavatti; Hussein A. Abbass (CoRR, 2021)

Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification. - Tanmoy Dam; Nidhi Swami; Sreenatha G. Anavatti; Hussein A. Abbass (CoRR, 2021)

Robust Multi-Robot Coverage of Unknown Environments using a Distributed Robot Swarm. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (CoRR, 2021)

State-of-the-Art Integrated Guidance and Control Systems in Unmanned Vehicles: A Review. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Syst. J., 2021)

Multimodal Fusion for Objective Assessment of Cognitive Workload: A Review. - Essam Soliman Debie; Raul Fernandez Rojas; Justin Fidock; Michael Barlow 001; Kathryn Kasmarik; Sreenatha G. Anavatti; Matt Garratt; Hussein A. Abbass (IEEE Trans. Cybern., 2021)

Neural Network-Based Self-Learning of an Adaptive Strictly Negative Imaginary Tracking Controller for a Quadrotor Transporting a Cable-Suspended Payload With Minimum Swing. - Vu Phi Tran; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Ind. Electron., 2021)

Distributed Artificial Neural Networks-Based Adaptive Strictly Negative Imaginary Formation Controllers for Unmanned Aerial Vehicles in Time-Varying Environments. - Vu Phi Tran; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Ind. Informatics, 2021)

Multiobjective Mission Route Planning Problem: A Neural Network-Based Forecasting Model for Mission Planning. - Sumana Biswas; Sreenatha G. Anavatti; Matthew A. Garratt (IEEE Trans. Intell. Transp. Syst., 2021)

Stable Adaptive Controller Based on Generalized Regression Neural Networks and Sliding Mode Control for a Class of Nonlinear Time-Varying Systems. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt; Mahardhika Pratama (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Hybrid PD-Fuzzy and PD Controllers for Trajectory Tracking of a Quadrotor Unmanned Aerial Vehicle: Autopilot Designs and Real-Time Flight Tests. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Syst. Man Cybern. Syst., 2021)

A Robust Hybrid of a Feedback Linearization Technique and an Interval Type-2 Fuzzy Control System for the Flapping Angle Dynamics of a Biomimetic Aircraft. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Lightweight Monocular Depth Estimation with an Edge Guided Network. - Xingshuai Dong; Matthew A. Garratt; Sreenatha G. Anavatti; Hussein A. Abbass; Junyu Dong (ICARCV, 2022)

Improving Self-Supervised Learning for Out-Of-Distribution Task via Auxiliary Classifier. - Harshita Boonlia; Tanmoy Dam; Md Meftahul Ferdaus; Sreenatha G. Anavatti; Ankan Mullick (ICIP, 2022)

Latent Preserving Generative Adversarial Network for Imbalance Classification. - Tanmoy Dam; Md Meftahul Ferdaus; Mahardhika Pratama; Sreenatha G. Anavatti; Senthilnath Jayavelu; Hussein A. Abbass (ICIP, 2022)

Scalable Adversarial Online Continual Learning. - Tanmoy Dam; Mahardhika Pratama; Md Meftahul Ferdaus; Sreenatha G. Anavatti; Hussein A. Abbass (ECML/PKDD (3), 2022)

Online Model-Free Reinforcement Learning for Output Feedback Tracking Control of a Class of Discrete-Time Systems With Input Saturation. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; Matthew A. Garratt (IEEE Access, 2022)

A survey, taxonomy and progress evaluation of three decades of swarm optimisation. - Jing Liu 029; Sreenatha G. Anavatti; Matthew Garratt; Kay Chen Tan; Hussein A. Abbass (Artif. Intell. Rev., 2022)

Modified continuous Ant Colony Optimisation for multiple Unmanned Ground Vehicle path planning. - Jing Liu 029; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (Expert Syst. Appl., 2022)

Mixture of Spectral Generative Adversarial Networks for Imbalanced Hyperspectral Image Classification. - Tanmoy Dam; Sreenatha G. Anavatti; Hussein A. Abbass (IEEE Geosci. Remote. Sens. Lett., 2022)

Multi-operator continuous ant colony optimisation for real world problems. - Jing Liu 029; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (Swarm Evol. Comput., 2022)

Frontier-led swarming: Robust multi-robot coverage of unknown environments. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Shadi Abpeikar (Swarm Evol. Comput., 2022)

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey. - Xingshuai Dong; Matthew A. Garratt; Sreenatha G. Anavatti; Hussein A. Abbass (IEEE Trans. Intell. Transp. Syst., 2022)

MobileXNet: An Efficient Convolutional Neural Network for Monocular Depth Estimation. - Xingshuai Dong; Matthew A. Garratt; Sreenatha G. Anavatti; Hussein A. Abbass (IEEE Trans. Intell. Transp. Syst., 2022)

A Robust Self-Adaptive Interval Type-2 TS Fuzzy Logic for Controlling Multi-Input-Multi-Output Nonlinear Uncertain Dynamical Systems. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (IEEE Trans. Syst. Man Cybern. Syst., 2022)

Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting. - Md. Rasel Sarkar; Sreenatha G. Anavatti; Tanmoy Dam; Mahardhika Pratama; Berlian Al Kindhi (IJCNN, 2023)

Radio Source Localization using Sparse Signal Measurements from Uncrewed Ground Vehicles. - Asanka G. Perera; Vu Phi Tran; Sreenatha G. Anavatti; Kathryn Kasmarik; Matthew Garratt (CoRR, 2023)

Multi-gas source localization and mapping by flocking robots. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti; Alex S. Leong; Mohammad Zamani (Inf. Fusion, 2023)

Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems. - Vu Phi Tran; Mohamed Abdalla Mabrok; Sreenatha G. Anavatti; Matthew A. Garratt; Ian R. Petersen (IEEE Trans. Cybern., 2023)

Dynamic Frontier-Led Swarming: Multi-Robot Repeated Coverage in Dynamic Environments. - Vu Phi Tran; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (IEEE CAA J. Autom. Sinica, 2023)

A Novel Evolving Type-2 Fuzzy System for Controlling a Mobile Robot under Large Uncertainties. - Ayad Al-Mahturi; Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti (Robotics, 2023)

Novel General Regression Neural Networks for Improving Control Accuracy of Nonlinear MIMO Discrete-Time Systems. - Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti (IEEE Trans. Cybern., 2023)

Coverage Path Planning With Budget Constraints for Multiple Unmanned Ground Vehicles. - Vu Phi Tran; Asanka G. Perera; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (IEEE Trans. Intell. Transp. Syst., 2023)

Exploring Adversarial Robustness of LiDAR Semantic Segmentation in Autonomous Driving. - K. T. Yasas Mahima; Asanka G. Perera; Sreenatha G. Anavatti; Matt Garratt (Sensors, 2023)

KDVGG-Lite: A Distilled Approach for Enhancing the Accuracy of Image Classification. - Shahriar Shakir Sumit; Sreenatha G. Anavatti; Murat Tahtali; Seyedali Mirjalili; Ugur Turhan (ACIIDS (2), 2024)

Bio-Inspired Adaptive Fuzzy Control Systems for Precise Low-Altitude Hovering of an Unmanned Aerial Vehicle Under Large Uncertainties. - Fendy Santoso; Matthew A. Garratt; Sreenatha G. Anavatti; Jiefei Wang; Phi Vu Tran; Md Meftahul Ferdaus (ECC, 2024)

Dynamics-Driven Visual Servoing of Over-Actuated Quadrotors. - Archit Krishna Kamath; Sreenatha G. Anavatti; Mir Feroskhan (ICARCV, 2024)

Robust and Scalable Swarming of Quadruped Robots for Chemical, Biological, Radiological, and Nuclear Source Localisation. - Rafiqul Islam; Sreenatha G. Anavatti; Kathryn Kasmarik; Matt Garratt (ICMRE, 2024)

Intelligent Control System for Ground Vehicles. - Yok Tungthamrongkul; Asanka G. Perera; Rafiqul Islam; Sreenatha G. Anavatti (ICMRE, 2024)

3DR-DIFF: Blind Diffusion Inpainting for 3D Point Cloud Reconstruction and Segmentation. - K. T. Yasas Mahima; Asanka G. Perera; Sreenatha G. Anavatti; Matt Garratt (IROS, 2024)

ResNet-Lite: On Improving Image Classification with a Lightweight Network. - Shahriar Shakir Sumit; Sreenatha G. Anavatti; Murat Tahtali; Seyedali Mirjalili; Ugur Turhan (KES, 2024)

Robust Decentralised Control for Modular Aerial Parcel Delivery Using Persistently Excited Physics-Informed Neural Networks. - Archit Krishna Kamath; Saeid Nahavandi; Sreenatha G. Anavatti; Mir Feroskhan (SMC, 2024)

A compact meta-learned neuro-fuzzy technique for noise-robust nonlinear control. - Md Meftahul Ferdaus; Ahmad Jobran Al-Mahasneh; Sreenatha G. Anavatti; J. Senthilnath 001 (Appl. Soft Comput., 2024)

Active Sensing Strategy: Multi-Modal, Multi-Robot Source Localization and Mapping in Real-World Settings with Fixed One-Way Switching. - Vu Phi Tran; Asanka G. Perera; Matthew A. Garratt; Kathryn Kasmarik; Sreenatha G. Anavatti (CoRR, 2024)

A hierarchical mission planning system for multi-uncrewed ground vehicles using fast cost evaluation and ant colony optimisation. - Jing Liu 029; Sreenatha G. Anavatti; Matthew Garratt; Hussein A. Abbass (Inf. Sci., 2024)

Collaborative gas source localization strategy with networked nano-drones in unknown cluttered environments. - Vu Phi Tran; Matthew A. Garratt; Sreenatha G. Anavatti; Sridhar Ravi (Swarm Evol. Comput., 2024)

GATE: A guided approach for time series ensemble forecasting. - Md. Rasel Sarkar; Sreenatha G. Anavatti; Tanmoy Dam; Md Meftahul Ferdaus; Murat Tahtali; Savitha Ramasamy; Mahardhika Pratama (Expert Syst. Appl., 2024)

Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks. - Muhammad Anwar Ma'sum; Md. Rasel Sarkar; Mahardhika Pratama; Savitha Ramasamy; Sreenatha G. Anavatti; Lin Liu 003; Habibullah Habibullah; Ryszard Kowalczyk (IEEE Trans. Artif. Intell., 2024)

Robust Adaptive Fuzzy Control for Second-Order Euler-Lagrange Systems With Uncertainties and Disturbances via Nonlinear Negative-Imaginary Systems Theory. - Vu Phi Tran; Mohamed Abdalla Mabrok; Sreenatha G. Anavatti; Matthew A. Garratt; Ian R. Petersen (IEEE Trans. Cybern., 2024)

A Physics-Informed Neural Network Approach to Augmented Dynamics Visual Servoing of Multirotors. - Archit Krishna Kamath; Sreenatha G. Anavatti; Mir Feroskhan (IEEE Trans. Cybern., 2024)

Resilient Flight Control for a 32g Nano Helicopter. - Praveen Kumar Muthusamy; Vu Phi Tran; Matthew Garratt; Sreenatha G. Anavatti; Hemanshu R. Pota; Jia Ming Kok (IEEE Trans. Ind. Electron., 2024)

Toward Robust 3D Perception for Autonomous Vehicles: A Review of Adversarial Attacks and Countermeasures. - K. T. Yasas Mahima; Asanka G. Perera; Sreenatha G. Anavatti; Matt Garratt (IEEE Trans. Intell. Transp. Syst., 2024)

A Multi-Module Explainable Artificial Intelligence Framework for Project Risk Management: Enhancing Transparency in Decision-making. - Bodrunnessa Badhon; Ripon K. Chakrabortty; Sreenatha G. Anavatti; Mario Vanhoucke (Eng. Appl. Artif. Intell., 2025)

IRAF-BRB: An explainable AI framework for enhanced interpretability in project risk assessment. - Bodrunnessa Badhon; Ripon K. Chakrabortty; Sreenatha G. Anavatti; Mario Vanhoucke (Expert Syst. Appl., 2025)

FlowCraft: Unveiling adversarial robustness of LiDAR scene flow estimation. - K. T. Yasas Mahima; Asanka G. Perera; Sreenatha G. Anavatti; Matt Garratt (Pattern Recognit. Lett., 2025)

A Dual-Task Deep Reinforcement Learning and Domain Transfer Architecture for Bootstrapping Swarming Collective Motion Skills. - Shadi Abpeikar; Matt Garratt; Sreenatha G. Anavatti; Reda Ghanem; Kathryn Kasmarik (IEEE Syst. J., 2025)

Foundation Models for Clean Energy Forecasting: A Comprehensive Review. - Md Meftahul Ferdaus; Tanmoy Dam; Md. Rasel Sarkar; Moslem Uddin; Sreenatha G. Anavatti (CoRR, 2025)

ASPEN-WIND: Adaptive spectral and self-supervised interactive CNN-LSTM for enhanced wind power forecasting. - Md. Rasel Sarkar; Sreenatha G. Anavatti; Md Meftahul Ferdaus; Tanmoy Dam (Expert Syst. Appl., 2026)