USING MRAN FOR CALL ADMISSION CONTROL OF ATM NETWORKS IN OPNET (2009)
Mohit Aiyar, N. Sundararajan, P. Saratch
This paper explores the use of OPNET to introduce a neural network Call Admission Control scheme in ATM networks to improve traffic management. The advanced capability of modeling traffic sources in...
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...
Li Yan, N. Sundararajan, P. Saratch
This paper presents first a performance analysis of the recently developed Minimal Resource Allocating Network (MRAN) algorithm for on-line identification of nonlinear dynamic systems. Using...
Fuzzy Extreme Learning Machine (Fuzzy-ELM) (2008)
Guang-bin Huang, Nan-ying Liang, Hai-jun Rong, P. Saratch, N. Sundararajan
The primitive Extreme Learning Machine (ELM) [1, 2, 3] with additive neurons and RBF kernels was implemented in batch mode. In this paper, its sequential modification based on recursive least-squares...
NEURAL CONGESTION CONTROLLER FOR ATM USING OPNET (2007)
Ng Hock Soon, N. Sundararajan, P. Saratch
An adaptive control scheme using a newly developed minimal radial basis function network referred to as Minimal Resource Allocation Network (MRAN) is presented to solve the traffic congestion problem...
Adaptive nonlinear neural controller for aircraft under actuator failures (2007)
Pashilkar, AA, Sundararajan, N, Saratchandran, P
This paper presents an adaptive backstepping neural controller design for aircraft under control surface failures. The control scheme uses radial basis function neural networks in an adaptive...
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...
Can threshold networks be trained directly (2006)
Guang-bin Huang, Qin-yu Zhu, K. Z. Mao, Chee-kheong Siew, P. Saratch, Senior Member, ...
Abstract—Neural networks with threshold activation functions are highly desirable because of the ease of hardware implementation. However, the popular gradient-based learning algorithms cannot be...
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...
Adaptive backstepping neural controller for aircraft autolanding (2005)
Pashilkar, AA, Sundararajan, N, Saratchandran, P
This report presents an adaptive back-stepping neural controller for reconfigurable flight control of aircraft in the presence of changes in the aerodynamic characteristics. Radial Basis Function...
Adaptive Backstepping Neural Controller for Aircraft Autolanding (2005)
Pashilkar, AA, Sundararajan, N, Saratchandran, P
This report presents an adaptive back-stepping neural controller for reconfigurable flight control of aircraft in the presence of changes in the aerodynamic characteristics. Radial Basis Function...
Adaptive Backstepping Neural Controller for Airc!'aft Autolanding (2005)
Pashilkar, AA, Sundararajan, N, Saratchandran, P
This report presents an adaptive back-stepping neural controller for reconfigurable flight control of aircraft in the presence of changes in the aerodynamic characteristics. Radial Basis Function...
Adaptive Backstepping Neural Controller for Aircaft Autolanding (2005)
Pashilkar, AA, Sundararajan, N, Saratchandran, P
This report presents an adaptive back-stepping neural controller for reconfigurable flight control of aircraft in the presence of changes in the aerodynamic characteristics. Radial Basis Function...
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...
Deng Jianping, N. Sundararajan, P. Saratch, Senior Member
Abstract: In this paper, a complex radial basis function neural network is proposed for equalization of Quadrature Amplitude Modulation (QAM) signals in communication channels. The network utilizes a...
A complex valued radial basis function network for equalization of fast time varying channels (1999)
Gan, Q., Saratchandran, P., Sundararajan, N., Subramanian, K. R.
A complex valued radial basis function network for equalization of fast time varying channels (1999)
Gan, Q., Saratchandran, P., Sundararajan, N., Subramanian, K. R.
A complex valued radial basis function network for equalization of fast time varying channels (1999)
Gan, Q., Saratchandran, P., Sundararajan, N., Subramanian, K. R.
Sensitivity Improvement of Feedback Systems, (1998)
Nominally equivalent control realizations consisting of linear combinations of open-loop and state feedback control for a linear time-invariant completely controllable plant are considered. Two...