Chandrasekhar Kambhampati

发表

Performance Analysis of Various Missing Value Imputation Methods on Heart Failure Dataset

Mohammad Al Khaldy, Chandrasekhar Kambhampati, 2016 .

Use of Stochastic Neural Networks for Process Control

Kevin Warwick, Chandrasekhar Kambhampati, 1992 .

Internal model control of nonlinear systems through the inversion of recurrent neural networks

Kevin Warwick, Chandrasekhar Kambhampati, M. T. Tham, 1998, 1998 IEEE International Joint Conference on Neural Networks Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36227).

Nonlinear System Approximation Using Dynamic Neural Networks

Victor M. Becerra, Kevin Warwick, Chandrasekhar Kambhampati, 2003 .

Identification of nonlinear systems with a dynamic recurrent neural network

Kevin Warwick, Chandrasekhar Kambhampati, A. Delgado, 1995 .

Approaches to the optimizing control problem

P. D. Roberts, Chandrasekhar Kambhampati, J. E. Ellis, 1988 .

Efficient recurrent neural network incorporating a priori knowledge

Chandrasekhar Kambhampati, R. Craddock, K. P. Dimopoulos, 2000 .

Fault-tolerance as a key Requirement for the Control of Modern Systems

Alessandro Casavola, Chandrasekhar Kambhampati, Giuseppe Franzè, 2006 .

Stable receding horizon control based on recurrent networks

Kevin Warwick, Chandrasekhar Kambhampati, J. D. Mason, 1997 .

Networked control systems tolerant to faults

Alessandro Casavola, Chandrasekhar Kambhampati, A. Casavola, 2009 .

Trajectory planning of a robot using learning algorithms

Kevin Warwick, Chandrasekhar Kambhampati, A. Tsoularis, 1992 .

Intelligent control toolkit for the Connoisseur/sup TM/ advanced control package

Kevin Warwick, Chandrasekhar Kambhampati, D. Sandoz, 1997 .

A practical approach for training dynamic recurrent neural networks: use of Apriori information

Kevin Warwick, Ming Tham, Chandrasekhar Kambhampati, 1998 .

Network optimization to improve the FDI/FTC method performances

Eric Rondeau, Steven X. Ding, Ping Zhang, 2005 .

Strategies for Feedback Linearisation

Victor M. Becerra, Kevin Warwick, Chandrasekhar Kambhampati, 2003 .

Intelligent control toolkit for an advanced control system

Kevin Warwick, Chandrasekhar Kambhampati, I. Woolley, 1998 .

Dynamic Neural Networks

Victor M. Becerra, Kevin Warwick, Chandrasekhar Kambhampati, 2003 .

Inverting recurrent neural networks for internal model control of nonlinear systems

Kevin Warwick, Chandrasekhar Kambhampati, M. T. Tham, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

Special Issue (NCSTF2007) on ‘Networked Control Systems Tolerant to Faults’ International Journal of Adaptive Control and Signal Processing (ACS)

Alessandro Casavola, Chandrasekhar Kambhampati, 2007 .

Path planning of robots in noisy workspaces using learning automata

Kevin Warwick, Chandrasekhar Kambhampati, A. Tsoularis, 1993, Proceedings of 8th IEEE International Symposium on Intelligent Control.

Introduction to Feedback Linearisation

Victor M. Becerra, Kevin Warwick, Chandrasekhar Kambhampati, 2003 .

Fault-tolerance as a key Requirement for the Control of Modern Systems

Alessandro Casavola, R. J. Patton, Chandrasekhar Kambhampati, 2007 .

An interaction predictive approach to fault-tolerant control in network control systems

R. J. Patton, Chandrasekhar Kambhampati, C Perkgoz, 2007 .

RECONFIGURATION IN PLUG-AND-PLAY NETWORK OF EMBEDDED SYSTEMS

R. J. Patton, Chandrasekhar Kambhampati, Faisel J. Uppal, 2006 .

Dynamic Systems in Neural Networks

Kevin Warwick, Chandrasekhar Kambhampati, J. D. Mason, 1995 .

Using self organising feature maps for feature selection in supervised neural networks

Richard Mitchell, Chandrasekhar Kambhampati, L. Kiernan, 1995 .

Feedback Linearisation Using Dynamic Neural Networks

Victor M. Becerra, Kevin Warwick, Chandrasekhar Kambhampati, 2003 .

Dynamic neural networks in control

Kevin Warwick, Chandrasekhar Kambhampati, P. C. Parks, 1995 .

Input/output linearization using dynamic recurrent neural networks

Kevin Warwick, Chandrasekhar Kambhampati, A. Delgado, 1996 .

Strategies for feedback linearisation : a dynamic neural network approach

Victor M. Becerra, Kevin Warwick, Chandrasekhar Kambhampati, 2002 .

Dynamic input/output linearization using recurrent neural networks

Kevin Warwick, Chandrasekhar Kambhampati, A. Delgado, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

A comparative study of multilayered and single layered neural network based predictive controllers

Kevin Warwick, Chandrasekhar Kambhampati, C. S. Berger, 1992 .

Automatic integrated system load forecasting using mutual information and neural networks

Richard Mitchell, Kevin Warwick, Chandrasekhar Kambhampati, 1995 .

Reconfiguration in networked control systems: Fault tolerant control and plug-and-play

R. J. Patton, Chandrasekhar Kambhampati, Faisal J. Uppal, 2006 .

Genetic algorithm plug-in controller for the Connoisseur/sup TM/ control package

Kevin Warwick, Chandrasekhar Kambhampati, D. Sandoz, 1997 .

An evaluation framework for mobile health education software

Neil Gordon, Mike Brayshaw, Chandrasekhar Kambhampati, 2015, 2015 Science and Information Conference (SAI).

A priori information in network design

Chandrasekhar Kambhampati, K. P. Dimopoulos, 1998 .

Reconfiguration in Networked Control Systems: Fault Tolerant Control and Plug-and-Play

R. J. Patton, Chandrasekhar Kambhampati, F. J. Uppal, 2007 .

Inverse model control using recurrent networks

Kevin Warwick, Chandrasekhar Kambhampati, Ming T. Tham, 2000 .

Limit cycles in neurocontrolled minirobots

Kevin Warwick, Chandrasekhar Kambhampati, A. Delgado, 1998 .

The relative order of a class of recurrent networks

Chandrasekhar Kambhampati, M. T. Tham, S. Manchanda, 1994 .

Relative degree of recurrent neural networks

Chandrasekhar Kambhampati, A. Delgado, 1994 .

Zero dynamics and relative degree of dynamic recurrent neural networks

Kevin Warwick, Chandrasekhar Kambhampati, A. Delgado, 1997 .