The Call Admission Control (CAC) and Routing Control (RC) problems for communication networks have been formulated as stochastic control problems; due to their complexity, a large number of suboptimal solutions have been proposed for these problems ([1],[2]) and some partial analyses have been carried out. Indeed, because of this complexity, it is impossible to implement even the proposed subop...

BACKGROUND AND AIMS Previous studies have investigated the association between ethnicity and processes of care and intermediate outcomes of diabetes, but there are limited population-based studies available. The aim of this study was to use population-based data to investigate the relationships between ethnicity and glycaemic control in men and women with diabetes mellitus living in Scotland. ...

Abstract When parties attempt to persuade their opponents of the tenability a certain standpoint using reasons, they will often find that circumstances dialogue hinder chances resolution. Power imbalances, cognitive biases, lack time or hidden interests are some need face. I label these as suboptimal settings for argumentation . According pragma-dialectical tradition, higher-order conditions cr...

An H 2 suboptimal control problem is deened and analyzed. Then an algorithm called`H 2 suboptimal state feedback gain sequence' (H 2 SOSFGS) algorithm is developed. Rather than utilizing a `perturbation method' which is numerically stii and computationally prohibitive, the H 2 SOSFGS algorithm utilizes a direct eigenvalue assignment method to come up with a sequence of H 2 suboptimal state feed...

Controlling a mobile vehicle to navigate in GPS-denied environments introduces a challenging partially observable control problem with complex constraints. This report presents a combination of various suboptimal control schemes such as open loop feedback control (OLFC), certainty equivalent control (CEC), model predictive control (MPC), and using expected values of estimates as full states to ...

This work studies the control of a fed-batch reactor for the production of penicillin and the design of suboptimal control strategies which result simple for their implementation. These strategies are able to (i) generate a suboptimal control that lead to the batch process towards its desired outputs, (ii) attenuate perturbations and noises always present in the operation of the process and, (i...

Restricted complexity estimation is a major topic in control-oriented identi cation. Conditional algorithms are used to identify linear nite dimensional models of complex systems, the aim being to minimize the worst-case identi cation error. High computational complexity of optimal solutions suggests to employ suboptimal estimation algorithms. This paper studies di erent classes of conditional ...