All Outputs (35)

Autonomous clustering using rough set theory (2008)
Journal Article
Bean, C., & Kambhampati, C. (2008). Autonomous clustering using rough set theory. International Journal of Automation and Computing, 5(1), 90-102. https://doi.org/10.1007/s11633-008-0090-3

This paper proposes a clustering technique that minimizes the need for subjective human intervention and is based on elements of rough set theory (RST). The proposed algorithm is unified in its approach to clustering and makes use of both local and g... Read More about Autonomous clustering using rough set theory.

A generic strategy for fault-tolerance in control systems distributed over a network (2007)
Journal Article
Patton, R. J., Kambhampati, C., Casavola, A., Zhang, P., Ding, S., & Sauter, D. (2007). A generic strategy for fault-tolerance in control systems distributed over a network. European journal of control / EUCA, European Control Association, 13(2-3), 280-296. https://doi.org/10.3166/ejc.13.280-296

This paper provides a tutorial overview, of a number of aspects and approaches to Control over the Network for Network Control Systems (NCS) that are likely to lead to good fault-tolerant control properties, subject to network faults. In order to ana... Read More about A generic strategy for fault-tolerance in control systems distributed over a network.

An interaction predictive approach to fault-tolerant control in network control systems (2007)
Journal Article
Kambhampati, C., Perkgoz, C., Patton, R. J., & Ahamed, W. (2007). An interaction predictive approach to fault-tolerant control in network control systems. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 221(6), 885-894. https://doi.org/10.1243/09596518jsce377

This paper illustrates some of the capabilities of previously proposed network control system (NCS) architectures to carry on functioning in the event of faults, without recourse to system reconfiguration. The principle of interaction prediction is u... Read More about An interaction predictive approach to fault-tolerant control in network control systems.

Neural observer by coordinate transformation (2005)
Journal Article
Delgado, A., Hou, M., & Kambhampati, C. (2005). Neural observer by coordinate transformation. IEE Proceedings Control Theory and Applications, 152(6), 698-706. https://doi.org/10.1049/ip-cta%3A20045069

Nonlinear control affine systems with maximum relative degree and a class of nonlinear differential equations can be transformed into a state representation known as the normal form. Based on the normal form an observer is designed using neural netwo... Read More about Neural observer by coordinate transformation.

Robots and sensors for landmine detection (2005)
Journal Article
Kambhampati, C., & Rajasekharan, S. (2005). Robots and sensors for landmine detection. International Journal of Systems Science, 36(9), 509-509. https://doi.org/10.1080/14645310512331389579

Artificial intelligence in medicine (2004)
Journal Article
Ramesh, A., Kambhampati, C., Monson, J., & Drew, P. (2004). Artificial intelligence in medicine. Annals of the Royal College of Surgeons of England, 86(5), 334-338. https://doi.org/10.1308/147870804290

INTRODUCTION Artificial intelligence is a branch of computer science capable of analysing complex medical data. Their potential to exploit meaningful relationship with in a data set can be used in the diagnosis, treatment and predicting outcome in ma... Read More about Artificial intelligence in medicine.

The current opinion on the use of robots for landmine detection (2003)
Journal Article
Rajasekharan, S., & Kambhampati, C. (2003). The current opinion on the use of robots for landmine detection. Proceedings / IEEE International Conference on Robotics and Automation, 3, 4252-4257. https://doi.org/10.1109/robot.2003.1242257

Anti-Personal landmines are a significant barrier to economic and social development in a number of countries. Several sensors have been developed but each one will probably have to find, if it exists, a specific area of applicability, determined by... Read More about The current opinion on the use of robots for landmine detection.

Multiple manipulator control from a human motor-control perspective (2003)
Journal Article
Kambhampati, C., & Rajasekharan, S. (2003). Multiple manipulator control from a human motor-control perspective. IEEE Transactions on Robotics and Automation, 19(3), 433-442. https://doi.org/10.1109/tra.2003.810244

A stable one-step-ahead predictive control of non-linear systems (2000)
Journal Article
Kambhampati, C., Mason, J. D., & Warwick, K. (2000). A stable one-step-ahead predictive control of non-linear systems. Automatica : the journal of IFAC, the International Federation of Automatic Control, 36(4), 485-495. https://doi.org/10.1016/s0005-1098%2899%2900173-9

In this paper stability of one-step ahead predictive controllers based on non-linear models is established. It is shown that, under conditions which can be fulfilled by most industrial plants, the closed-loop system is robustly stable in the presence... Read More about A stable one-step-ahead predictive control of non-linear systems.

Trained Hopfield neural networks need not be black-boxes (1999)
Conference Proceeding
Craddock, R., & Kambhampati, C. (1999). Trained Hopfield neural networks need not be black-boxes. In American Control Conference, 1999. Proceedings of the 1999 (368--372). https://doi.org/10.1109/acc.1999.782803

Stable receding horizon control based on recurrent networks (1997)
Journal Article
Kambhampati, C., Delgado, A., Mason, J., & Warwick, K. (1997). Stable receding horizon control based on recurrent networks. IEE Proceedings Control Theory and Applications, 144(3), 249-254. https://doi.org/10.1049/ip-cta%3A19970950

Stable linearization using multilayer neural networks (1996)
Conference Proceeding
Delgado, A., Kambhampati, C., & Warwick, K. (1996). Stable linearization using multilayer neural networks. . https://doi.org/10.1049/cp%3A19960551

The main limitation of linearization theory that prevents its application in practical problems is the need for an exact knowledge of the plant. This requirement is eliminated and it is shown that a multilayer network can synthesise the state feedbac... Read More about Stable linearization using multilayer neural networks.

The relative order and inverses of recurrent networks (1996)
Journal Article
Kambhampati, C., Manchanda, S., Delgado, A., Green, G., Warwick, K., & Tham, M. (1996). The relative order and inverses of recurrent networks. Automatica : the journal of IFAC, the International Federation of Automatic Control, 32(1), 117-123. https://doi.org/10.1016/0005-1098%2895%2900098-4

The relative order of a class of recurrent networks (1994)
Conference Proceeding
Manchanda, S., Kambhampati, C., Tham, M., & Green, G. (1994). The relative order of a class of recurrent networks. . https://doi.org/10.1049/cp%3A19940266

Three types of recurrent network configurations have been proposed since they enable adequate description of temporal behaviour. The concept of relative order has been introduced so as to provide a framework for analysing such network configurations.... Read More about The relative order of a class of recurrent networks.

Approaches to the optimizing control problem (1988)
Journal Article
Ellis, J. E., Kambhampati, C., Sheng, G., & Roberts, P. D. (1988). Approaches to the optimizing control problem. International Journal of Systems Science, 19(10), 1969-1985. https://doi.org/10.1080/00207728808964092

The selection of the steady-state controls which enable a system to operate in an optimum manner is the optimizing control problem. An examination of direct and adaptive model-based approaches to this problem is made. In the direct approach, system m... Read More about Approaches to the optimizing control problem.