Narasimhan Sundararajan

发表

Fault tolerant neuro-H/sub /spl infin// controller design for aircraft auto-landing

Yan Li, Zhifeng Wang, Narasimhan Sundararajan, 2003, Proceedings of the 35th Southeastern Symposium on System Theory, 2003..

A novel method for extracting interpretable knowledge from a spiking neural classifier with time-varying synaptic weights pdf

Narasimhan Sundararajan, Abeegithan Jeyasothy, Suresh Sundaram, 2019, ArXiv.

Fuzzy-neuro fault-tolerant control schemes for aircraft autolanding under actuator failures

Narasimhan Sundararajan, Hai-Jun Rong, 2009, 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications.

Adaptive Neural Congestion Controller for ATM Network with Heavy Traffic

Narasimhan Sundararajan, Paramasivan Saratchandran, Ng Hock Soon, 1999, Broadband Communications.

Classification of Mental Tasks from Eeg Signals Using Extreme Learning Machine

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2006, Int. J. Neural Syst..

CDAS: A Cognitive Decision-Making Architecture for Dynamic Airspace Sectorization for Efficient Operations

Narasimhan Sundararajan, Cheryl Sze Yin Wong, Suresh Sundaram, 2019, IEEE Transactions on Intelligent Transportation Systems.

Text-independent speaker verification using minimal resource allocation networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Li Guojie, 2004, Int. J. Neural Syst..

A sequential learning neural network for foreign exchange rate forecasting

Narasimhan Sundararajan, Paramasivan Saratchandran, Hu Minghui, 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

Parallel implementation of backpropagation on transputers

Narasimhan Sundararajan, Paramasivan Saratchandran, Shou King Foo, 1993, Proceedings of 1993 International Conference on Neural Networks (IJCNN-93-Nagoya, Japan).

Self regulating particle swarm optimization algorithm

Narasimhan Sundararajan, Sundaram Suresh, Muhammad Rizwan Tanweer, 2015, Inf. Sci..

A fast learning Fully Complex-valued Relaxation Network (FCRN)

Narasimhan Sundararajan, Sundaram Suresh, Ramaswamy Savitha, 2011, The 2011 International Joint Conference on Neural Networks.

Nonlinear aircraft control using a minimal radial basis function neural network

Narasimhan Sundararajan, Paramasivan Saratchandran, Chua Boon Hong Nigel, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

Adaptive Nonlinear Neural Controller for Aircraft Under Actuator Failures

Narasimhan Sundararajan, P Saratchandran, A. A. Pashilkar, 2007 .

Complex-valued Self-regulatory Resource Allocation Network (CSRAN)

Narasimhan Sundararajan, Sundaram Suresh, Ramasamy Savitha, 2013 .

Fast learning complex-valued classifiers for real-valued classification problems

Narasimhan Sundararajan, Sundaram Suresh, Ramaswamy Savitha, 2013, Int. J. Mach. Learn. Cybern..

Real-time performance evaluation of the minimal radial basis function network for identification of time varying nonlinear systems

Narasimhan Sundararajan, Paramasivan Saratchandran, T. K. Leong, 2002, Comput. Electr. Eng..

Analysis of training set parallelism for backpropagation neural networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Shou King Foo, 1995, Int. J. Neural Syst..

Development of a Higher Order Cognitive Optimization algorithm

Narasimhan Sundararajan, Sundaram Suresh, Muhammad Rizwan Tanweer, 2017, 2017 IEEE Congress on Evolutionary Computation (CEC).

Fuzzy Fault Tolerant Controller for Actuator Failures during Aircraft Autolanding

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2006, 2006 IEEE International Conference on Fuzzy Systems.

Stable Neuro-Flight-Controller Using Fully Tuned Radial Basis Function Neural Networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Yan Li, 2001 .

ICGA-PSO-ELM Approach for Accurate Multiclass Cancer Classification Resulting in Reduced Gene Sets in Which Genes Encoding Secreted Proteins Are Highly Represented

Narasimhan Sundararajan, Sundaram Suresh, Michael T. Zimmermann, 2011, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Image Quality Measurement Using Sparse Extreme Learning Machine Classifier

Narasimhan Sundararajan, R. Venkatesh Babu, Sundaram Suresh, 2006, 2006 9th International Conference on Control, Automation, Robotics and Vision.

Indirect Adaptive Control Using Fully Tuned RBFN

Yan Li, Narasimhan Sundararajan, Paramasivan Saratchandran, 2002 .

A Genetic Approach for Two Dimensional Packing with Constraints

Narasimhan Sundararajan, Paramasivan Saratchandran, Wee Sng Khoo, 2001, International Conference on Computational Science.

Classification of abnormalities in digitized mammograms using Extreme Learning Machine

Narasimhan Sundararajan, Ramaswamy Savitha, Gopalan Vani, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Improved neural-aided sliding mode controller for autolanding under actuator failures and severe winds

Narasimhan Sundararajan, Ramakalyan Ayyagari, Abhay A. Pashilkar, 2014 .

Nonlinear System Identification Using Lyapunov Based Fully Tuned Dynamic RBF Networks

Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran, 2000, Neural Processing Letters.

Erratum: Supervised Learning with Complex-valued Neural Networks

Narasimhan Sundararajan, Sundaram Suresh, Ramasamy Savitha, 2013 .

Direct Adaptive Neuro Flight Controller Using Fully Tuned RBFN

Yan Li, Narasimhan Sundararajan, Paramasivan Saratchandran, 2002 .

A sequential multi-category classifier using radial basis function networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Sundaram Suresh, 2008, Neurocomputing.

Optimal distribution of patterns in a heterogeneous array of transputers for backpropagation networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Foo Shou King, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

A new load distribution strategy for linear network with communication delays

Narasimhan Sundararajan, Sundaram Suresh, V. Mani, 2009, Math. Comput. Simul..

Mentoring based particle swarm optimization algorithm for faster convergence

Narasimhan Sundararajan, Sundaram Suresh, Muhammad Rizwan Tanweer, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Dynamic mentoring and self-regulation based particle swarm optimization algorithm for solving complex real-world optimization problems

Narasimhan Sundararajan, Sundaram Suresh, M. R. Tanweer, 2016, Inf. Sci..

A Review of Radial Basis Function (RBF) Neural Networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Lu Ying Wei, 1999 .

Regularized Spatial Filtering Method (R-SFM) for detection of Attention Deficit Hyperactivity Disorder (ADHD) from resting-state functional Magnetic Resonance Imaging (rs-fMRI)

Vigneshwaran Subbaraju, Narasimhan Sundararajan, Suresh Sundaram, 2018, 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

A Review of Nonlinear Adaptive Neural Control Schemes

Narasimhan Sundararajan, Paramasivan Saratchandran, Yan Li, 2002 .

Robustness evaluation of a minimal RBF neural network for nonlinear-data-storage-channel equalisation

Narasimhan Sundararajan, Paramasivan Saratchandran, Deng Jianping, 2002 .

Neural Adaptive Flight Controllers for Helicopters

Narasimhan Sundararajan, Paramasivan Saratchandran, Sundaram Suresh, 2006 .

Projection-Based Fast Learning Fully Complex-Valued Relaxation Neural Network

Narasimhan Sundararajan, Sundaram Suresh, Ramaswamy Savitha, 2013, IEEE Transactions on Neural Networks and Learning Systems.

Radial Basis Function Neural Networks With Sequential Learning: Mran and Its Applications

Narasimhan Sundararajan, Paramasivan Saratchandran, Lu Ying Wei, 1999 .

Analysis of minimal radial basis function network algorithm for real-time identification of nonlinear dynamic systems

Yan Li, Narasimhan Sundararajan, Paramasivan Saratchandran, 2000 .

Fault-tolerant adaptive control of nonlinear base-isolated buildings using EMRAN

Satish Nagarajaiah, Narasimhan Sundararajan, Sundaram Suresh, 2010 .

Identification of time-varying nonlinear systems using minimal radial basis function neural networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Lu Yingwei, 1997 .

Adaptive back-stepping neural controller for reconfigurable flight control systems

Narasimhan Sundararajan, Paramasivan Saratchandran, A. A. Pashilkar, 2006, IEEE Transactions on Control Systems Technology.

Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Y. Li, 2001, Autom..

An Efficient Sequential RBF Network for Gene Expression-Based Multi-category classification

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

Communication channel equalisation using complex-valued minimal radial basis function neural network

Narasimhan Sundararajan, Paramasivan Saratchandran, Deng Jianping, 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.

Adaptive backstepping neural controller for aircraft autolanding

Narasimhan Sundararajan, P Saratchandran, A. A. Pashilkar, 2005 .

A new Neuro-Fuzzy Inference System with Dynamic Neurons (NFIS-DN) for system identification and time series forecasting

Narasimhan Sundararajan, Sundaram Suresh, J. Senthilnath, 2019, Appl. Soft Comput..

MRAN for Nonlinear Dynamic Systems

Narasimhan Sundararajan, Paramasivan Saratchandran, Lu Ying Wei, 1999 .

Alzheimer's disease detection using a Self-adaptive Resource Allocation Network classifier

Narasimhan Sundararajan, Sundaram Suresh, B. S. Mahanand, 2011, The 2011 International Joint Conference on Neural Networks.

Identifying differences in brain activities and an accurate detection of autism spectrum disorder using resting state functional‐magnetic resonance imaging: A spatial filtering approach

Vigneshwaran Subbaraju, Narasimhan Sundararajan, Sundaram Suresh, 2017, Medical Image Anal..

A study of parallel implementation of backpropagation neural networks on a transputer array

Narasimhan Sundararajan, Paramasivan Saratchandran, Shou King Foo, 1994, Neural Parallel Sci. Comput..

An efficient sequential learning algorithm for growing and pruning RBF (GAP-RBF) networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Complex-valued function approximation using an improved BP learning algorithm for feed-forward networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Sundaram Suresh, 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

Blind equalization using higher order statistics and neural networks: A comparative study

Narasimhan Sundararajan, Paramasivan Saratchandran, Li Rui, 1999, Neural Parallel Sci. Comput..

MRAN for Communication Channel Equalization

Narasimhan Sundararajan, Paramasivan Saratchandran, Lu Ying Wei, 1999 .

An intelligent fault-tolerant satellite attitude control system with-out hardware redundancies

Narasimhan Sundararajan, Sundaram Suresh, Sureshkumar Chandrasekar, 2010, 2010 11th International Conference on Control Automation Robotics & Vision.

Fully Complex-valued Multi Layer Perceptron Networks

Narasimhan Sundararajan, Sundaram Suresh, Ramasamy Savitha, 2013 .

Channel Equalization Using Complex Extreme Learning Machine with RBF Kernels

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2006, ISNN.

Online Meta-neuron based Learning Algorithm for a spiking neural classifier

Narasimhan Sundararajan, Sundaram Suresh, Shirin Dora, 2017, Inf. Sci..

Complex-Valued Minimal Radial Basis Function Neural Network for Nonlinear System Identification

Narasimhan Sundararajan, Paramasivan Saratchandran, Deng Jianping, 2000 .

Aircraft Flight Control Applications Using Direct Adaptive NFC

Narasimhan Sundararajan, Paramasivan Saratchandran, Yan Li, 2002 .

A fully complex-valued radial basis function classifier for real-valued classification problems

Narasimhan Sundararajan, Sundaram Suresh, H. J. Kim, 2012, Neurocomputing.

A complex valued radial basis function network for equalization of fast time varying channels

Narasimhan Sundararajan, Paramasivan Saratchandran, Krishnappa R. Subramanian, 1999, IEEE Trans. Neural Networks.

Fully complex extreme learning machine

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, Neurocomputing.

A Direct Link Minimal Resource Allocation Network for Adaptive Noise Cancellation

Narasimhan Sundararajan, Paramasivan Saratchandran, Sun Yonghong, 2004, Neural Processing Letters.

Circular Complex-valued Extreme Learning Machine Classifier

Narasimhan Sundararajan, Sundaram Suresh, Ramasamy Savitha, 2013 .

Performance Study on Real-valued Classification Problems

Narasimhan Sundararajan, Sundaram Suresh, Ramasamy Savitha, 2013 .

Design of reliable and reconfigurable auto-landing flight controller

Narasimhan Sundararajan, Jianliang Wang, N. Sundararajan, 2005 .

Improved SRPSO algorithm for solving CEC 2015 computationally expensive numerical optimization problems

Narasimhan Sundararajan, Sundaram Suresh, Muhammad Rizwan Tanweer, 2015, 2015 IEEE Congress on Evolutionary Computation (CEC).

Direct Adaptive Neural Flight Controller for F-8 Fighter Aircraft

Narasimhan Sundararajan, Sundaram Suresh, S. N. Omkar, 2006 .

An Interclass Margin Maximization Learning Algorithm for Evolving Spiking Neural Network

Narasimhan Sundararajan, Suresh Sundaram, Shirin Dora, 2019, IEEE Transactions on Cybernetics.

Fault toleranat neuro/neuro-fuzzy controllers for aircraft auto landing with actuator failures and severe winds

Narasimhan Sundararajan, Rong Haijun, P Saratchandran, 2011 .

COMMUNICATION CHANNEL EQUALISATION NEURAL NETWORK

Narasimhan Sundararajan, Paramasivan Saratchandran, Deng Jianping, 2000 .

A Novel Sequential Learning Algorithm for Minimal Resource Allocation Neural Networks (MRAN)

Narasimhan Sundararajan, Paramasivan Saratchandran, Lu Ying Wei, 1999 .

A Self-Regulated Interval Type-2 Neuro-Fuzzy Inference System for Handling Nonstationarities in EEG Signals for BCI

Narasimhan Sundararajan, Sundaram Suresh, Ankit Kumar Das, 2016, IEEE Transactions on Fuzzy Systems.

Neural-Sliding Mode Augmented Robust Controller for Autolanding of Fixed Wing Aircraft

Narasimhan Sundararajan, Abhay A. Pashilkar, Shaik Ismail, 2013, SOCO 2013.

A subject-specific frequency band selection for efficient BCI- an interval type-2 fuzzy inference system approach

Narasimhan Sundararajan, A. K. Das, Sundaram Suresh, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Metacognitive Neuro-Fuzzy Inference System (McFIS) for Sequential Classification Problems

Narasimhan Sundararajan, Sundaram Suresh, Kartick Subramanian, 2013, IEEE Transactions on Fuzzy Systems.

Complex-valued function approximation using a Fully Complex-valued RBF (FC-RBF) learning algorithm

Narasimhan Sundararajan, Sundaram Suresh, Ramaswamy Savitha, 2009, 2009 International Joint Conference on Neural Networks.

Genetic algorithm based mapping of backpropagation neural networks onto a parallel heterogenous processor network

Narasimhan Sundararajan, Paramasivan Saratchandran, Shou King Foo, 1995, Neural Parallel Sci. Comput..

Fault tolerant flight controller using minimal resource allocating neural networks (MRAN)

Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran, 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

Complex-Valued Minimal Resource Allocation Network for Nonlinear Signal Processing

Narasimhan Sundararajan, Paramasivan Saratchandran, Deng Jianping, 2000, Int. J. Neural Syst..

A fully tuned sequential interval type-2 fuzzy inference system for motor-imagery task classification

Narasimhan Sundararajan, A. K. Das, Sundaram Suresh, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

A Sequential Learning Algorithm for Complex-Valued Self-Regulating Resource Allocation Network-CSRAN

Narasimhan Sundararajan, Sundaram Suresh, Ramaswamy Savitha, 2011, IEEE Transactions on Neural Networks.

Supervised Learning with Complex-valued Neural Networks

Narasimhan Sundararajan, Sundaram Suresh, Ramaswamy Savitha, 2012, Studies in Computational Intelligence.

ABR traffic management using minimal resource allocation (neural) networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Ng Hock Soon, 2002, Comput. Commun..

A two stage learning algorithm for a Growing-Pruning Spiking Neural Network for pattern classification problems

Narasimhan Sundararajan, Sundaram Suresh, Shirin Dora, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Can threshold networks be trained directly?

Chee Kheong Siew, Narasimhan Sundararajan, Paramasivan Saratchandran, 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

Using regional homogeneity from functional MRI for diagnosis of ASD among males

Narasimhan Sundararajan, Sundaram Suresh, B. S. Mahanand, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

Novel Neutral Network Approach to Call Admission Control in High-speed Networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Supeng Leng, 2003, Int. J. Neural Syst..

Real-Time Identification of Nonlinear Systems Using MRAN/EMRAN Algorithm

Yan Li, Narasimhan Sundararajan, Paramasivan Saratchandran, 2002 .

On-Line Sequential Extreme Learning Machine

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, Computational Intelligence.

A robust interval Type-2 Fuzzy Inference based BCI system

Narasimhan Sundararajan, A. K. Das, Sundaram Suresh, 2016, 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Communication channel equalization using complex-valued minimal radial basis function neural networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Deng Jianping, 2002, IEEE Trans. Neural Networks.

Neural Adaptive Control for Vibration Suppression in Composite Fin-Tip of Aircraft

Narasimhan Sundararajan, Paramasivan Saratchandran, Sundaram Suresh, 2008, Int. J. Neural Syst..

A fault-tolerant neural aided controller for aircraft auto-landing

Narasimhan Sundararajan, P Saratchandran, A. A. Pashilkar, 2006 .

Accurate detection of autism spectrum disorder from structural MRI using extended metacognitive radial basis function network

Vigneshwaran Subbaraju, Narasimhan Sundararajan, Sundaram Suresh, 2015, Expert Syst. Appl..

Adaptive nonlinear system identification using minimal radial basis function neural networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Yingwei Lu, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

Meta-cognitive interval type-2 fuzzy controller for quadcopter flight control- an EEG based approach

Narasimhan Sundararajan, A. K. Das, Sundaram Suresh, 2016, 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Bio-inspired computing for launch vehicle design and trajectory optimization

Narasimhan Sundararajan, Sundaram Suresh, Hai-Jun Rong, 2009, 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications.

A Fast and Accurate Online Sequential Learning Algorithm for Feedforward Networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2006, IEEE Transactions on Neural Networks.

Parallel Implementations of Backpropagation Neural Networks on Transputers: A Study of Training Set Parallelism

Narasimhan Sundararajan, Paramasivan Saratchandran, Shou King Foo, 1996 .

Minimal resource allocation network (MRAN) for magnetic recording channel equalization

Narasimhan Sundararajan, Paramasivan Saratchandran, Deng Jianping, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

A generalized growing and pruning RBF (GGAP-RBF) neural network for function approximation

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, IEEE Transactions on Neural Networks.

Performance Study on Complex-valued Function Approximation Problems

Narasimhan Sundararajan, Sundaram Suresh, Ramasamy Savitha, 2013 .

Neuro-controllers for aircraft auto-landing under severe wind conditions

Yan Li, Narasimhan Sundararajan, Paramasivan Saratchandran, 2003, Proceedings of the 2003 American Control Conference, 2003..

Parallel implementation of backpropagation neural network on a heterogeneous ring processor topology

Narasimhan Sundararajan, Paramasivan Saratchandran, Shou King Foo, 1997, Proceedings of International Conference on Neural Networks (ICNN'97).

Nonlinear Adaptive Neural Controller for Unstable Aircraft

Narasimhan Sundararajan, Sundaram Suresh, S. N. Omkar, 2005 .

Neuro Controller for Aircraft Auto landing Under Severe Winds and Control Surface Failures

Narasimhan Sundararajan, P Saratchandran, A. A. Pashilkar, 2005 .

Performance Evaluation of GAP-RBF Network in Channel Equalization

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2005, Neural Processing Letters.

Parallel implementation of backpropagation neural networks on a heterogeneous array of transputers

Narasimhan Sundararajan, Paramasivan Saratchandran, Shou King Foo, 1997, IEEE Trans. Syst. Man Cybern. Part B.

SEFRON: A New Spiking Neuron Model With Time-Varying Synaptic Efficacy Function for Pattern Classification

Narasimhan Sundararajan, Abeegithan Jeyasothy, Suresh Sundaram, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Comparison of parallel and serial implementation of feedforward neural networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Shou King Foo, 1995 .

Directionally Driven Self-Regulating Particle Swarm Optimization algorithm

Narasimhan Sundararajan, Sundaram Suresh, M. R. Tanweer, 2016, Swarm Evol. Comput..

Online Sequential Fuzzy Extreme Learning Machine for Function Approximation and Classification Problems

Narasimhan Sundararajan, Paramasivan Saratchandran, Guang-Bin Huang, 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

ATM congestion control using Minimal Resource Allocation Networks (MRAN)

Narasimhan Sundararajan, Paramasivan Saratchandran, Ng Hock Soon, 2003, Neural Computing & Applications.

NEURAL ADAPTIVE VIBRATION SUPPRESSION SYSTEM FOR SMART STRUCTURES IN AIRCRAFT

Narasimhan Sundararajan, Paramasivan Saratchandran, Sundaram Suresh, 2006 .

Diagonally dominant backstepping autopilot for aircraft with unknown actuator failures and severe winds

Narasimhan Sundararajan, Ramakalyan Ayyagari, Abhay A. Pashilkar, 2014 .

Human meta-cognition inspired collaborative search algorithm for optimization

Narasimhan Sundararajan, Sundaram Suresh, Muhammad Rizwan Tanweer, 2014, 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI).

Neuro-Flight Controllers for Aircraft Using Minimal Resource Allocating Networks (MRAN)

Li Yan, Narasimhan Sundararajan, Paramasivan Saratchandran, 2001, Neural Computing & Applications.

Genetic algorithm based pattern allocation schemes for training set parallelism in backpropagation neural networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Shou King Foo, 1995, Proceedings of 1995 IEEE International Conference on Evolutionary Computation.

A self-regulated learning in Fully Complex-valued Radial Basis Function Networks

Narasimhan Sundararajan, Sundaram Suresh, Ramaswamy Savitha, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

MRAN Neuro-Flight-Controller for Robust Aircraft Control

Yan Li, Narasimhan Sundararajan, Paramasivan Saratchandran, 2002 .

Risk-sensitive loss functions for sparse multi-category classification problems

Narasimhan Sundararajan, Paramasivan Saratchandran, Sundaram Suresh, 2008, Inf. Sci..

Nonlinear System Identification Using Lyapunov-Based Fully Tuned RBFN

Narasimhan Sundararajan, Paramasivan Saratchandran, Yan Li, 2002 .

Adaptive control of nonlinear smart base‐isolated buildings using Gaussian kernel functions

Narasimhan Sundararajan, Sundaram Suresh, Sriram Narasimhan, 2008 .

Non-linear channel equalisation using minimal radial basis function neural networks

Narasimhan Sundararajan, Paramasivan Saratchandran, Palaniswamy Chandra Kumar, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Robust EMRAN-aided coupled controller for autonomous vehicles

Narasimhan Sundararajan, Sauranil Debarshi, Suresh Sundaram, 2021, Eng. Appl. Artif. Intell..

Robust EMRAN based Neural Aided Learning Controller for Autonomous Vehicles pdf

Narasimhan Sundararajan, Suresh Sundaram, Sauranil Debarshi, 2021, ArXiv.

A Decentralized Multi-UAV Spatio-Temporal Multi-Task Allocation Approach for Perimeter Defense pdf

Narasimhan Sundararajan, Suresh Sundaram, Shridhar Velhal, 2021, ArXiv.

Discriminant Spatial Filtering Method (DSFM) for the identification and analysis of abnormal resting state brain activities

Vigneshwaran Subbaraju, Narasimhan Sundararajan, Suresh Sundaram, 2021, Expert Syst. Appl..