Failing Siracusa: governments' obligations to find the least restrictive options for tuberculosis control

Least-restrictive move-blocking model predictive control

The authors recently proposed an approach to enforce strong feasibility in moveblocking model predictive control problems. In this paper the approach is utilized to design strong model predictive control problems which generate least restrictive controllers. The domains of different move-blocking regimes are thus equal and the same as the non-moveblocking maximum. This allows comparison of diff...

Failing to Find Paraphrases Using PNrule

In this paper, we attempt to detect clause-level paraphrases in cases where they are extremely rare, using a combination of lexical and syntactic measures along with a machine learning algorithm designed specifically for detecting rare classes: PNrule. When our method fails, we examine the probable causes of this failure, and what they mean for future work.

Failing one ’ s obligations : Defectiveness in

Compared with some other authors in the present volume, I do not have an overall theory of defectiveness and the status of paradigmatic gaps to offer in this paper. As opposed to the rich and varied array of defectiveness documented by Boyé &Hofherr, this volume, for other Romance languages, I have only one poor little crippled verb to offer up on parade: a single verb in a relatively obscure l...

A Real Options Approach to Valuing and Hedging Cropland Obligations

Least-restrictive robust periodic model predictive control applied to room temperature regulation

State-feedback model predictive control (MPC) of constrained discrete-time periodic affine systems is considered. The periodic systems’ states and inputs are subject to periodically time-dependent, hard, polyhedral constraints. Disturbances are additive, bounded and subject to periodically time-dependent bounds. The objective is to designMPC laws that robustly enforce constraint satisfaction in...