E. Solak, D. J. Leith, R. Murray-smith, W. E. Leithead, C. E. Rasmussen
Gaussian processes provide an approach to nonparametric modelling which allows a straightforward combination of function and derivative observations in an empirical model. This is of particular...
E. Solak, D. J. Leith, R. Murray-smith, W. E. Leithead, C. E. Rasmussen
Gaussian processes provide an approach to nonparametric modelling which allows a straightforward combination of function and derivative observations in an empirical model. This is of particular...
E. Solak, W. E. Leithead, D. J. Leith
Gaussian processes provide an approach to nonparametric modelling which allows a straightforward combination of function and derivative observations in an empirical model. This is of particular...
Abstract Appropriate Realisation of MIMO Gain-Scheduled Controllers D.J.Leith (2007)
The dynamic characteristics of a controller designed by the gain-scheduling approach can be strongly dependent on the realisation adopted; that is, the manner in which the local linear controller...
E. Solak, R. Murray-smith, W. E. Leithead, D. J. Leith, C. E. Rasmussen
Gaussian processes provide an approach to nonparametric modelling which allows a straightforward combination of function and derivative observations in an empirical model. This is of particular...
Size related performance limitations on wind turbine control systems (2006)
In this presentation the control the limitations of a wind turbine system and the trade-offs present between the typical control objectives are explored.
Analytic Framework for Blended Multiple Model Systems Using Linear Local Models (1999)
In this paper it is shown that the dynamics of a conventional type of blended multiple model system are only weakly related to the local models from which it is formed. A novel class of...