303 research outputs found
JAQPOT RESTful Web Services: An Implementation of the OpenTox Application Programming Interface for On-line Prediction of Toxicological Properties
Stabilising Model Predictive Control for Discrete-time Fractional-order Systems
In this paper we propose a model predictive control scheme for constrained
fractional-order discrete-time systems. We prove that all constraints are
satisfied at all time instants and we prescribe conditions for the origin to be
an asymptotically stable equilibrium point of the controlled system. We employ
a finite-dimensional approximation of the original infinite-dimensional
dynamics for which the approximation error can become arbitrarily small. We use
the approximate dynamics to design a tube-based model predictive controller
which steers the system state to a neighbourhood of the origin of controlled
size. We finally derive stability conditions for the MPC-controlled system
which are computationally tractable and account for the infinite dimensional
nature of the fractional-order system and the state and input constraints. The
proposed control methodology guarantees asymptotic stability of the
discrete-time fractional order system, satisfaction of the prescribed
constraints and recursive feasibility
Decibell: A novel approach to the ORM software in Java
DeciBell is an open source and free tool developed to tackle in a uniform and structured way the problem of Java and SQL cooperation (available at http://github.com/hampos/DeciBell). In DeciBell, Java classes are related to relational database entities automatically and in a transparent way as far as the background operations are concerned. So, on one hand, non-expert users can work on Java code exclusively while expert ones are able to focus on more algorithmic aspects of the problem they try to solve rather than be wasted with trivial database management issues. In contrast to the existing O.R.M. programs, DeciBell does not require any configuration files or composite query structures, but only a proper annotation of certain fields of the classes. This annotation is carried out by means of the Java Annotations which is a modern trend in Java programming. Among its supported facilities, DeciBell supports primary keys (single and multiple), foreign keys, constraints, one-to-one, one- to-many, and many-to-many relations and all these using pure Java predicates and no SQL or other Query Languages
Optimal production scheduling for dairy industries
In this work, a complete two-level framework for use in food and in particular dairy industries is proposed. The specific characteristics of the dairy industry have been taken into consideration, in terms of the behavior of food sales over time and the special requirements in the production phase. At the scheduling level, an MILP (Mixed Integer Linear Programming) model of the system was developed, using a continuous representation of time
Controlled drug administration by a fractional PID
Amiodarone is an antiarrhythmic drug that exhibits highly complex and non-exponential dynamics whose controlled administration has important implications for its clinical use especially for long-term therapies. Its pharmacokinetics has been accurately modelled using a fractional-order compartmental model. In this paper we design a fractional-order PID controller and we evaluate its dynamical characteristics in terms of the stability margins of the closed loop and the ability of the controlled system to attenuate various sources of noise and uncertainty
Robust model predictive control for discrete-time fractional-order systems
In this paper we propose a tube-based robust model predictive control scheme for fractional-order discrete-time systems of the Grunwald-Letnikov type with state and input constraints. We first approximate the infinite-dimensional
fractional-order system by a finite-dimensional linear system
and we show that the actual dynamics can be approximated
arbitrarily tight. We use the approximate dynamics to design
a tube-based model predictive controller which endows to the
controlled closed-loop system robust stability properties
An Improved Brain Storm Optimization with Dynamic Clustering Strategy
Intelligence algorithms play an increasingly important role in the field of intelligent control. Brain storm optimization (BSO) is a new kind of swarm intelligence algorithm inspired by emulating the collective behavior of human beings in the problem solving process. To improve the performance of the original BSO, many variants of BSO are proposed. In this paper, an improved BSO algorithm with dynamic clustering strategy (BSO-DCS) is proposed as a variant of BSO for global optimization problems. The basic framework of BSO is firstly introduced. Then to reduce the time complexity of the original BSO, a new grouping method named dynamic clustering strategy (DCS) is proposed to improve the clustering method in the original BSO. To verify the effectiveness of the proposed BSO-DCS, it is tested on 12 benchmark functions of CEC 2005 with 30 dimensions. Experimental results show that DCS is an effective strategy to reduce the time complexity, and the improved BSO-DCS performs greatly better than the original BSO algorithm
A safe-by-design tool for functionalised nanomaterials through the Enalos Nanoinformatics Cloud platform
Multi-walled carbon nanotubes are currently used in numerous industrial applications and products, therefore fast and accurate evaluation of their biological and toxicological effects is of utmost importance. Computational methods and techniques, previously applied in the area of cheminformatics for the prediction of adverse effects of chemicals, can also be applied in the case of nanomaterials (NMs), in an effort to reduce expensive and time consuming experimental procedures. In this context, a validated and predictive nanoinformatics model has been developed for the accurate prediction of the biological and toxicological profile of decorated multi-walled carbon nanotubes. The nanoinformatics workflow was fully validated according to the OECD principles before it was released online via the Enalos Cloud platform. The web-service is a ready-to-use, user-friendly application whose purpose is to facilitate decision making, as part of a safe-by-design framework for novel carbon nanotubes
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