Chandrasekhar Kambhampati
Chandrasekhar Kambhampati
Reader in Computer Science, University of Hull, Hull
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
Artificial intelligence in medicine
J Holmes, L Sacchi, R Bellazzi
Ann R Coll Surg Engl 86, 334-8, 2004
Dynamic recurrent neural network for system identification and control
A Delgado, C Kambhampati, K Warwick
IEE Proceedings-Control Theory and Applications 142 (4), 307-314, 1995
A generic strategy for fault-tolerance in control systems distributed over a network
RJ Patton, C Kambhampati, A Casavola, P Zhang, S Ding, D Sauter
European journal of control 13 (2-3), 280-296, 2007
A stable one-step-ahead predictive control of non-linear systems
C Kambhampati, JD Mason, K Warwick
Automatica 36 (4), 485-495, 2000
Strategies for feedback linearisation: a dynamic neural network approach
FR Garces, VM Becerra, C Kambhampati, K Warwick
Springer Science & Business Media, 2012
Balancing class for performance of classification with a clinical dataset
N Poolsawad, C Kambhampati, JGF Cleland
proceedings of the World Congress on Engineering 1, 1-6, 2014
Inverse model control using recurrent networks
C Kambhampati, RJ Craddock, M Tham, K Warwick
Mathematics and computers in simulation 51 (3-4), 181-199, 2000
Fault-tolerance as a key requirement for the control of modern systems
RJ Patton, C Kambhampati, A Casavola, G Franze
IFAC Proceedings Volumes 39 (13), 13-22, 2006
Autonomous clustering using rough set theory
C Bean, C Kambhampati
International Journal of Automation and Computing 5, 90-102, 2008
Reconfiguration in networked control systems: Fault tolerant control and plug-and-play
C Kambhampati, RJ Patton, FJ Uppal
Fault Detection, Supervision and Safety of Technical Processes 2006, 126-131, 2007
A comparative study of missing value imputation with multiclass classification for clinical heart failure data
Y Zhang, C Kambhampati, DN Davis, K Goode, JGF Cleland
2012 9th international conference on fuzzy systems and knowledge discovery …, 2012
The relative order and inverses of recurrent networks
C Kambhampati, S Manchanda, A Delgado, GGR Green, K Warwick, ...
Automatica 32 (1), 117-123, 1996
On-line planning for collision avoidance on the nominal path
A Tsoularis, C Kambhampati
Journal of Intelligent and Robotic Systems 21, 327-371, 1998
Approximation of non-autonomous dynamic systems by continuous time recurrent neural networks
C Kambhampati, F Garces, K Warwick
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000
Issues in the mining of heart failure datasets
N Poolsawad, L Moore, C Kambhampati, JGF Cleland
International Journal of Automation and Computing 11, 162-179, 2014
Stable receding horizon control based on recurrent networks
C Kambhampati, A Delgado, JD Mason, K Warwick
IEE Proceedings-Control Theory and Applications 144 (3), 249-254, 1997
Dynamic systems in neural networks
K Warwick, C Kambhampati, P Parks, J Mason
Neural network engineering in dynamic control systems, 27-41, 1995
An interaction predictive approach to fault-tolerant control in network control systems
C Kambhampati, C Perkgoz, RJ Patton, W Ahamed
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of …, 2007
Handling missing values in data mining-A case study of heart failure dataset
N Poolsawad, L Moore, C Kambhampati, JGF Cleland
2012 9th International Conference on Fuzzy Systems and Knowledge Discovery …, 2012
Approaches to the optimizing control problem
JE Ellis, C Kambhampati, G Sheng, PD Roberts
International journal of systems science 19 (10), 1969-1985, 1988
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