We report silica-based fibre Bragg grating filters with wavelength tuningspans well over 90nm using a simple set-and-forget beam bending tuning-package. The key operational parameters of the filters are maintained over the entire tuningwindow.

The paper describes an automatic tuning procedure for a wide class of continuous-time systems without and with time delays. Every auto-tuning method has two basic steps. The first one is experimental and yields an estimated model. The second step consists in a design procedure of controllers. The developed auto-tuning procedure identifies a first order estimation model obtained by a biased rela...

A methodology for tuning the stiffness of machine tool supports is described based on a stiffness model using the contact stiffness approach. Using this model, the mathematical relationship between the load of the support and its stiffness is established. The relationship is separated into three regions. When the total stiffness of all supports is maximized, the load must be tuned so that the s...

This paper presents a fuzzy tuning approach to sliding mode control for tracking-performance enhancement in a class of nonlinear systems. The sliding surface can rotate or shift in the phase space in such a direction that the tracking behaviour can be improved. It is shown that with arbitrary initial conditions, the reaching time and tracking error in the approaching phase can be significantly ...

This paper proposes a design method of self-tuning generalized minimum variance control based on ondemand type feedback controller. A controller, such as generalized minimum variance control (GMVC), generalized predictive control (GPC) and so on, can be extended by using coprime factorization. Then new design parameter is introduced into the extended controller, and the parameter can re-design ...

This letter is a response to the comments of Serang (2012) on Huang and He (2012) in Bioinformatics. Serang (2012) claimed that the parameters for the Fido algorithm should be specified using the grid search method in Serang et al. (2010) so as to generate a deserved accuracy in performance comparison. It seems that it is an argument on parameter tuning. However, it is indeed the issue of how t...

Reward engineering is an important aspect of reinforcement learning. Whether or not the users’ intentions can be correctly encapsulated in the reward function can significantly impact the learning outcome. Current methods rely on manually crafted reward functions that often requires parameter tuning to obtain the desired behavior. This operation can be expensive when exploration requires system...

Document management software are used widely for office paper management and related workflows. However, they have some differences from a flexibility perspective for the needs of workers. Moreover, they also differentiate in their underlying conceptual design. In this paper, a set (eight) of widely used document management systems are chosen from internet reviews [5] [6] and their conceptual m...

Many minimum distance estimators have the potential to provide parameter estimates which are both robust and efficient and yet, despite these highly desirable theoretical properties, they are rarely used in practice. This is because the performance of these estimators is rarely guaranteed per se but obtained by placing a suitable value on some tuning parameter. Hence there is a risk involved in...

Distributional semantic models can predict many linguistic phenomena, including word similarity, lexical ambiguity, and semantic priming, or even to pass TOEFL synonymy and analogy tests (Landauer and Dumais, 1997; Griffiths et al., 2007; Turney and Pantel, 2010). But what does it take to create a competitive distributional model? Levy et al. (2015) argue that the key to success lies in hyperpa...