Approaches to the optimizing control problem

Ellis, J. E.; Kambhampati, C; Sheng, G; Roberts, P. D.

doi:10.1080/00207728808964092

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)
Presentation / Conference Contribution
Rajasekharan, S., & Kambhampati, C. The current opinion on the use of robots for landmine detection. Presented at 2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422), Taipei, Taiwan, Taiwan

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)
Presentation / Conference Contribution
Craddock, R., & Kambhampati, C. (1999, June). Trained Hopfield neural networks need not be black-boxes. Presented at Proceedings of the 1999 American Control Conference, San Diego, CA, USA

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)
Presentation / Conference Contribution
Delgado, A., Kambhampati, C., & Warwick, K. (1996, September). Stable linearization using multilayer neural networks. Presented at UKACC International Conference on Control. Control '96, Exeter, UK

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)
Presentation / Conference Contribution
Manchanda, S., Kambhampati, C., Tham, M., & Green, G. (1994, March). The relative order of a class of recurrent networks. Presented at International Conference on Control '94, Coventry, UK

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.

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