| This paper presents technology that extends the concept of end-point control of a exiblelink robot arm to handle payloads with unknown internal dynamics. The approach is based on merging high-performance control with an innovative identi cation algorithm in a self-tuning regulator framework. Payload dynamics are identi ed in real-time using recently developed subspace tting techniques. Su cie...

We examine whether the O(a) improved quark action on anisotropic lattices can be used as a framework for the heavy quark, which enables precision computation of matrix elements of heavy-light mesons. To this end, it is crucial to verify that a mass independent and nonperturbative tuning of the parameters is possible. As a first step, we observe the dispersion relation of heavy-light mesons on a...

Tree-like structures such as retinal images are widely studied in computer-aided diagnosis systems for largescale screening programs. Despite several segmentation and tracking methods proposed in the literature, there still exist several limitations specifically when two or more curvilinear structures cross or bifurcate, or in the presence of interrupted lines or highly curved blood vessels. In...

In this paper method of design of self-tuning fuzzy PID controller is addressed, proposed and tested. Fuzzy logic is used to tune each parameter of PID controller. The proposed controller is tested in control of the thermo-optical plant. This paper deals with theoretical and practical methodology, offering approaches for control design and its successful application.

Evidence for instances of astrophysical ‘fine tuning’ (or ‘coincidences’) is thought by some to lend support to the design argument (i.e. the argument that our universe has been designed by some deity). We assess some of the relevant empirical and conceptual issues. We argue that astrophysical fine tuning calls for some explanation, but this explanation need not appeal to the design argument. A...

This paper tests a learning-based model of strategic teaching in repeated games with incomplete information. The repeated game has a long-run player whose type is unknown to a group of short-run players. The proposed model assumes a fraction of ‘short-run’ players follow a one-parameter learning model (self-tuning EWA). In addition, some ‘long-run’ players are myopic while others are sophistica...

OBJECTIVE To implement a fast method for measuring psychophysical tuning curves (PTCs) for use in clinical applications, such as assessment of frequency selectivity and detection of dead regions in the cochlea. DESIGN The method is based on that described by Sek et al (2005) and has been implemented in software that can be run on a PC with a good-quality sound card. In addition to the main na...

The general task of optimal adaptive control with recursive identification (self-tuning control) is very complicated problem. This problem is solved usually by the separation of identification and control – the Certainty Equivalency (CE) Principle. The aim of this paper is to present the solution of this problem using the Dual Adaptive Control (Bicriterial Approach). The main idea of this appro...

Interactive narrative allows the user to play a role in a story and interact with other characters controlled by the system. Directorial control is a procedure for dynamically tuning the interaction towards the author’s desired effects. Most existing approaches for directorial control are built within plot-centric frameworks for interactive narrative and do not have a systematic way to ensure t...

An increase in the permissible initial window size of a TCP connection, from one segment to three or four segments, has been under discussion in the tcp-impl working group. This document covers some simulation studies of the effects of increasing the initial window size of TCP. Both long-lived TCP connections (file transfers) and short-lived web-browsing style connections were modeled. The simu...