Overall Cluster Research Aims:

The overall aim of the Cluster is to develop multidisciplinary research, which will explore the following three research themes, which are sub-disciplines of the novel proposed area of multiple-model based learning control paradigms for complex systems:

1. Development of new simplified and transparent model structures for complex process identification.
2. Development of new computationally efficient methods for parameter estimation and optimisation in non-linear process models.
3. Integration of learning control systems within a novel multiple model framework, and the application of these multiple model and operating regime approaches to more efficient modelling, identification and control of complex systems.

The main goal of all research themes is to explore novel computational paradigms which will reduce the level of modelling and control complexity without compromising stability, robustness and performance requirements.

The primary objectives of the Cluster itself include forging links between different emerging scientific and engineering disciplines which will lead to the development and submission of 2 or 3 full multidisciplinary research proposals exploring the above novel research themes, within the Cluster's 12 month lifetime. This will be achieved through the holding of a set of interdisciplinary meetings, culminating in a larger open meeting.

Further detailed information on the proposal (including a list of references) is available here.