Multiple-output regression models require estimating multiple parameters, one for each output. Structural regularization is usually employed to improve parameter estimation in such models. In this paper, we present a multiple-output regression model that leverages the covariance structure of the latent model parameters as well as the conditional covariance structure of the observed outputs. Thi...

We explain the raison d’être and basic ideas of input/output logic, sketching the central elements with pointers to other publications for detailed developments. The motivation comes from the logic of norms. Unconstrained input/output operations are straightforward to define, with relatively simple behaviour, but ignore the subtleties of contraryto-duty norms. To deal with these more sensitivel...

In this paper the problem of robust input-output decoupling for linear systems with nonlinear uncertain structure (NLUS), via an independent from the uncertainties static measurement output feedback law, is studied. The necessary and sufficient conditions for the problem to have a solution, are established. The general analytical expressions of the feedback matrices and the decoupled closed loo...

The memory plates can be used with con ventional 2-to-1 current -coincidence drive. This is particularly suitable for compact, lower power consuming, transistor driven, memories of relatively small capacity. A new method is proposed of driving memories particularly suitable for plates. The memory plates are driven by an end-on switch itself made of plates. The switch operates in a set-a-line an...