Control of hybrid systems as those systems with mixed time-driven and event-driven dynamics faces the computational complexity as a main challenging problem. Explicit solution to the optimal control problems has been proposed as a tool to reduce the on-line computational burden. The complexity of the explicit solution is again prohibitive for large problems. This paper shows that how a recently...

This paper presents the central finite-dimensional H∞ filters for linear systems with state and measurement delays, that are suboptimal for a given threshold γ with respect to a modified Bolza-Meyer quadratic criterion including the attenuation control term with the opposite sign. The paper first presents the central suboptimal H∞ filter for linear systems with state and measurement delays, whi...

OBJECTIVES To investigate whether and how structured feedback sessions can increase rates of appropriate antimicrobial prescribing by junior doctors. METHODS This was a mixed-methods study, with a conceptual orientation towards complexity and systems thinking. Fourteen junior doctors, in their first year of training, were randomized to intervention (feedback) and 21 to control (routine practi...

BACKGROUND Glycaemic control is suboptimal in a large proportion of people with type 2 diabetes who are consequently at an increased and avoidable risk of potentially severe complications. We sought to explore attitudes and practices among healthcare professionals that may contribute to suboptimal glycaemic control through a review of recent relevant publications in the scientific literature. ...

The paper discusses the solution to the optimal adaptive control problem over an extended time horizon. This leads to a controller that has dual features, i. e.; it uses control actions as well as probing actions. The solution of the optimal dual control problem is intractable from a computational point of view. Approximations to obtain simpler suboptimal dual controllers are thus important.The...

AIMS This paper aims to explore the effect of the social network based intervention Powerful Together with Diabetes on diabetes self-management among socioeconomically deprived patients. This 10-month group intervention targeting patients and significant others aimed to improve self-management by stimulating social support and diminishing social influences that hinder self-management. METHODS...

We study the inherent robust stability properties of nonlinear discrete-time systems controlled by suboptimal model predictive control (MPC). The unique requirement to suboptimal MPC is that it does not increase the cost function with respect to a well-defined warm start, and it is therefore implementable in general nonconvex problems for which no suboptimality margins can be enforced. Because ...

The requirement of human immunodeficiency virus type 1 to generate numerous proteins from a single primary transcript is met largely by the use of suboptimal splicing to generate over 30 mRNAs. To ensure that appropriate quantities of each protein are produced, there must be a signal(s) that controls the efficiency with which any particular splice site in the RNA is used. To identify this contr...

Wedevelop computational bounds onperformance for causal state feedback stochastic controlwith linear dynamics, arbitrary noise distribution, and arbitrary input constraint set. This can be very useful as a comparison with the performance of suboptimal control policies, which we can evaluate using Monte Carlo simulation. Our method involves solving a semidefinite program (a linear optimization p...