A direct adaptive neural command controller design for an unstable helicopter (2009)
Kumar, Vijaya M, Suresh, S, Omkar, SN, Ganguli, Ranjan, Sampath, Prasad
This paper presents an off-line (finite time interval) and on-line learning direct adaptive neural controller for an unstable helicopter. The neural controller is designed to track pitch rate command...
A new load distribution strategy for linear network with communication delays (2009)
Suresh, S, Mani, V, Omkar, SN, Kim, HJ, Sundararajan, N
In this paper, we propose a new load distribution strategy called `send-and-receive' for scheduling divisible loads, in a linear network of processors with communication delay. This strategy is...
Artificial immune system for multi-objective design optimization of composite structures (2008)
Omkar, SN, Khandelwal, Rahul, Yathindra, Santhosh, Naik, G Narayana, Gopalakrishnan, S
We present a new, generic method/model for multi-objective design optimization of laminated composite components using a novel multi-objective optimization algorithm developed on the basis of the...
Rule extraction for classification of acoustic emission signals using Ant Colony Optimisation (2008)
Omkar, SN, Raghavendra, Karanth U
Ant Colony Optimization (ACO) is used to obtain rules that can classify the data into pre-defined classes. It can be used to classify acoustic emission (AE) signals to their respective sources. ACO...
Omkar, SN, Senthilnath, J, Mudigere, Dheevatsa, Kumar, M Manoj
Remote sensing provides a lucid and effective means for crop coverage identification. Crop coverage identification is a very important technique, as it provides vital information on the type and...
This study presents optimization of a yard crane schedule (YCS) to perform a given set of container handling jobs with different ready times in order to minimize the sum of job waiting times or the...
Rotorcraft Parameter Identification from Real Time Flight Data (2008)
Kumar, Rajan, Ganguli, Ranjan, Omkar, SN, Kumar, Vijaya M
Rotorcraft system identification involves the derivation of the model structure and parameters, such as aerodynamic stability and control derivatives, from flight-test results. Accurate rotorcraft...
Rotorcraft Parameter Identification from Real Time Flight Data (2008)
Kumar, Rajan, Ganguli, Ranjan, Omkar, SN, Kumar, Vijaya M
Rotorcraft system identification involves the derivation of the model structure and parameters, such as aerodynamic stability and control derivatives, from flight-test results. Accurate rotorcraft...
This study presents optimization of a yard crane schedule (YCS) to perform a given set of container handling jobs with different ready times in order to minimize the sum of job waiting times or the...
Kumar, Vijaya M, Sampath, Prasad, Suresh, S, Omkar, SN, Ganguli, Ranjan
Purpose – This paper aims to present the design of a stability augmentation system (SAS) in the longitudinal and lateral axes for an unstable helicopter. Design/methodology/approach – The...
Kumar, Vijaya M, Sampath, Prasad, Suresh, S, Omkar, SN, Ganguli, Ranjan
Purpose – This paper aims to present the design of a stability augmentation system (SAS) in the longitudinal and lateral axes for an unstable helicopter. Design/methodology/approach – The...
Direct Adaptive Neural Flight Controller for F-8 Fighter Aircraft (2006)
Suresh, S, Omkar, SN, Mani, V, Sundararajan, N
A novel neural network approach based on model-following direct adaptive control system design is proposed to improve damping and also to follow pilot commands accurately. The control law is derived...
Direct Adaptive Neural Flight Controller for F-8 Fighter Aircraft (2006)
Suresh, S, Omkar, SN, Mani, V, Sundararajan, N
A novel neural network approach based on model-following direct adaptive control system design is proposed to improve damping and also to follow pilot commands accurately. The control law is derived...
Nonlinear adaptive neural controller for unstable aircraft (2005)
Suresh, S, Omkar, SN, Mani, V, Sundararajan, N
A model reference indirect adaptive neural control scheme that uses both off-line and online learning strategies is proposed for an,unstable nonlinear aircraft controller design. The...
An equivalent network for divisible load scheduling in nonblocking mode of communication (2005)
Suresh, S, Mani, V, Omkar, SN, Kim, HJ
Scheduling divisible loads in nonblocking mode of communication in a single-level tree network is considered. For this scheduling problem,an equivalent single-level tree network in blocking mode of...
Parallel Implementation of Back-Propagation Algorithm in Networks of Workstations (2005)
This paper presents an efficient mapping scheme for the multilayer perceptron (MLP) network trained using backpropagation (BP) algorithm on network of workstations (NOWs). Hybrid partitioning (HP)...
Parallel Implementation of Back-Propagation Algorithm in Networks of Workstations (2005)
This paper presents an efficient mapping scheme for the multilayer perceptron (MLP) network trained using backpropagation (BP) algorithm on network of workstations (NOWs). Hybrid partitioning (HP)...
An equivalent network for divisible load scheduling in nonblocking mode of communication (2005)
Suresh, S, Mani, V, Omkar, SN, Kim, HJ
Scheduling divisible loads in nonblocking mode of communication in a single-level tree network is considered. For this scheduling problem,an equivalent single-level tree network in blocking mode of...
Nonlinear adaptive neural controller for unstable aircraft (2005)
Suresh, S, Omkar, SN, Mani, V, Sundararajan, N
A model reference indirect adaptive neural control scheme that uses both off-line and online learning strategies is proposed for an,unstable nonlinear aircraft controller design. The...
Mahapatra, Roy D, Suresh, S, Omkar, SN, Gopalakrishnan, S
Purpose - To develop a new method for estimation of damage configuration in composite laminate structure using acoustic wave propagation signal and a reduction-prediction neural network to deal with...
Nonlinear Lateral Command Control Using Neural Network for F-16 Aircraft (2005)
Suresh, S, Kannan, N, Omkar, SN, Mani, V
A discrete time neural network based lateral controller design for an F-16 nonlinear model is presented. The controller is designed using model reference indirect adaptive control and the input...
Mahapatra, Roy D, Suresh, S, Omkar, SN, Gopalakrishnan, S
Purpose - To develop a new method for estimation of damage configuration in composite laminate structure using acoustic wave propagation signal and a reduction-prediction neural network to deal with...
Nonlinear Lateral Command Control Using Neural Network for F-16 Aircraft (2005)
Suresh, S, Kannan, N, Omkar, SN, Mani, V
A discrete time neural network based lateral controller design for an F-16 nonlinear model is presented. The controller is designed using model reference indirect adaptive control and the input...
Garg, AK, Mahapatra, Roy D, Suresh, S, Gopalakrishnan, S, Omkar, SN
A multi-layer perceptron (MLP) network using error back propagation algorithm is employed in this paper to estimate the damage parameters from broad-band spectral data as diagnostic signal. Various...
Suresh, S, Omkar, SN, Ganguli, Ranjan, Mani, V
In this paper, the flexural vibration in a cantilever beam having a transverse surface crack is considered. The modal frequency parameters are analytically computed for various crack locations and...
Garg, AK, Mahapatra, Roy D, Suresh, S, Gopalakrishnan, S, Omkar, SN
A multi-layer perceptron (MLP) network using error back propagation algorithm is employed in this paper to estimate the damage parameters from broad-band spectral data as diagnostic signal. Various...
Suresh, S, Omkar, SN, Ganguli, Ranjan, Mani, V
In this paper, the flexural vibration in a cantilever beam having a transverse surface crack is considered. The modal frequency parameters are analytically computed for various crack locations and...
Lift coefficient prediction at high angle of attack using recurrent neural network (2003)
Suresh, S, Omkar, SN, Mani, V, Prakash, Guru TN
In this paper, identification of dynamic stall effect of rotor blade is considered. Recurrent Neural Networks have the ability to identify the nonlinear dynamical systems from training data. This...
In this paper, scheduling of divisible loads in a bus network is considered. The objective is to minimize the processing time by including the overhead component due to start-up time that could...
Lift coefficient prediction at high angle of attack using recurrent neural network (2003)
Suresh, S, Omkar, SN, Mani, V, Prakash, Guru TN
In this paper, identification of dynamic stall effect of rotor blade is considered. Recurrent Neural Networks have the ability to identify the nonlinear dynamical systems from training data. This...
In this paper, scheduling of divisible loads in a bus network is considered. The objective is to minimize the processing time by including the overhead component due to start-up time that could...
Understanding weld modelling processes using a combination of trained neural networks (2002)
In this paper, a set of neural networks has been trained for weld modelling processes with different architecture and training parameters. The set of neural networks is trained using actual weld data...
Neural Networks Based Identification of Helicopter Dynamics Using Flight Data (2002)
Suresh, S, Kumar, Vijaya M, Omkar, SN, Mani, V, Sampath, Prasad
In this paper, identification of lateral and longitudinal dynamics of a helicopter using flight data is presented. Neural networks with linear filter also known as Narendra's model and recurrent...
Acoustic Emission Signal Classification Using Fuzzy C-means Clustering (2002)
Omkar, SN, Suresh, S, Raghavendra, TR, Mani, V
Fuzzy C-means (FCM) clustering is used to classify the acoustic emission (AE) signal to different sources of signals. FCM has the ability to discover the cluster among the data, even when the...
Understanding weld modelling processes using a combination of trained neural networks (2002)
In this paper, a set of neural networks has been trained for weld modelling processes with different architecture and training parameters. The set of neural networks is trained using actual weld data...
Neural Networks Based Identification of Helicopter Dynamics Using Flight Data (2002)
Suresh, S, Kumar, Vijaya M, Omkar, SN, Mani, V, Sampath, Prasad
In this paper, identification of lateral and longitudinal dynamics of a helicopter using flight data is presented. Neural networks with linear filter also known as Narendra's model and recurrent...
Acoustic Emission Signal Classification Using Fuzzy C-means Clustering (2002)
Omkar, SN, Suresh, S, Raghavendra, TR, Mani, V
Fuzzy C-means (FCM) clustering is used to classify the acoustic emission (AE) signal to different sources of signals. FCM has the ability to discover the cluster among the data, even when the...
Neural Network Controller for Minimizing Hub Shear Forces in Helicopter (1998)
This paper discusses the application of recurrent neural networks for identification and control of helicopter vibrations. A class of recurrent networks called memory neuron networks are used for...
Neural Network Controller for Minimizing Hub Shear Forces in Helicopter (1998)
This paper discusses the application of recurrent neural networks for identification and control of helicopter vibrations. A class of recurrent networks called memory neuron networks are used for...