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A nonlinear PID-based multiple controller incorporating a multilayered neural network learning submodel (2006)
Journal Article
Zayed, A., Hussain, A., & Grimble, M. (2006). A nonlinear PID-based multiple controller incorporating a multilayered neural network learning submodel. Control and Intelligent Systems, 34, 177-184. https://doi.org/10.2316/Journal.201.2006.3.201-1499

A new nonlinear minimum-variance adaptive proportional integral derivative (PID) based multiple controller, incorporating a multi- layered neural network learning submodel, is presented. The unknown non-linear plant is represented by an equivalent st... Read More about A nonlinear PID-based multiple controller incorporating a multilayered neural network learning submodel.

Editorial: Nonlinear adaptive PID control - Part II (2006)
Journal Article
Hussain, A., Grimble, M., & Zayed, A. (2006). Editorial: Nonlinear adaptive PID control - Part II. Control and Intelligent Systems, 34(3), 175

The article provides an overview of papers about nonlinear adaptive proportional integral derivative (PID) control, published in the August 2006 issue of "Control and Intelligent Systems." Zayed and colleagues wrote an editorial describing a nonlinea... Read More about Editorial: Nonlinear adaptive PID control - Part II.

Data mining a new pilot agriculture extension data warehouse (2006)
Journal Article
Abdullah, A., & Hussain, A. (2006). Data mining a new pilot agriculture extension data warehouse. Journal of Research and Practice in Information Technology, 38(3), 229-248

Pakistan is the world’s fifth largest cotton producer. To monitor cotton growth, different government departments and agencies in Pakistan have been recording pest scouting, agriculture and metrological data for decades. Coarse estimates of just the... Read More about Data mining a new pilot agriculture extension data warehouse.

A new biclustering technique based on crossing minimization (2006)
Journal Article
Abdullah, A., & Hussain, A. (2006). A new biclustering technique based on crossing minimization. Neurocomputing, 69(16-18), 1882-1896. https://doi.org/10.1016/j.neucom.2006.02.018

Clustering only the records in a database (or data matrix) gives a global view of the data. For a detailed analysis or a local view, biclustering or co-clustering is required, involving the clustering of the records and the attributes simultaneously.... Read More about A new biclustering technique based on crossing minimization.

A novel multiple-controller incorporating a radial basis function neural network based generalized learning model (2006)
Journal Article
Zayed, A. S., Hussain, A., & Abdullah, R. A. (2006). A novel multiple-controller incorporating a radial basis function neural network based generalized learning model. Neurocomputing, 69(16-18), 1868-1881. https://doi.org/10.1016/j.neucom.2006.02.017

A new adaptive multiple-controller is proposed incorporating a radial basis function (RBF) neural network based generalized learning model (GLM). The GLM assumes that the unknown complex plant is represented by an equivalent stochastic model consisti... Read More about A novel multiple-controller incorporating a radial basis function neural network based generalized learning model.

Blind equalisation of communication channels for equal energy sources: Energy matching approach (2006)
Journal Article
Naveed, A., Qureshi, I., Hussain, A., & Fiori, S. (2006). Blind equalisation of communication channels for equal energy sources: Energy matching approach. Electronics Letters, 42(4), 247-248. https://doi.org/10.1049/el%3A20062983

A new energy-matching approach for blind equalisation of possibly non-minimum phase channels is presented. The scheme exploits second order statistics and uses oversampling, but does not use the matching of statistics of the input with that of the ou... Read More about Blind equalisation of communication channels for equal energy sources: Energy matching approach.