Executable Architectures Using Cuckoo Search Optimization Coupled with OPM and CPN-A Module: A New Meta-Architecture Model for FILA SoS

Understanding System of Systems (SoS) requires novel ways to apply systems engineering processes. Acknowledged SoS have recognized objectives, a designated manager and resources for the SoS. The goal of this research is to develop a proof of concept tool suite for Acknowledged SoS systems simulation. This suite is named flexible, intelligent and learning architectures for System of Systems (FILA-SoS). FILA-SoS assists the SoS manager in architecture generation, selection, and implementation working as an aid for decision making. Binary cuckoo search constrained optimization is used to generate meta-architectures which are evaluated by a fuzzy assessor for quality assurance. The architecture is then converted into an executable structure using Object Process Methodology (OPM) and Colored Petri Nets (CPN). A hybrid methodology comprising of OPM and CPN approach is implemented for simulating the acquisition environment. Initial application for a Search and Rescue (SAR) SoS, consisting of 25 individual systems with ten capabilities gave promising results

Simulador de vehículos eléctricos en MATLAB

XXXVI Jornadas de Automática, 2 - 4 de septiembre de 2015. BilbaoEste artículo describe las características y posibilidades de uso de un simulador microscópico de vehículos eléctricos sobre un entorno real en el que interaccionan con el resto de vehículos y con las electrolineras. El simulador está desarrollado íntegramente en MATLAB y destaca por la flexibilidad en la configuración de todos los parámetros que gobiernan el comportamiento de vehículos, conductores y estaciones de recarga. Otro aspecto a tener en cuenta es que por defecto simula en base a información extraída de un caso práctico de una flota de vehículos eléctricos

LARES – Laboratorij za sustave obnovljivih izvora energije

Prikazan je povijesni tijek razvoja i sadašnji trenutak Laboratorija za sustave obnovljivih izvora energije (LARES) na FERu. Laboratorij je nastao adresiranjem tehničkih izazova povezanih s upravljanjem pojedinačnih sustava obnovljivih izvora energije, sustava pohrane ili potrošača, s ciljevima njihove ekonomičnosti i dugovječnosti, a danas se mahom bavi upravljanjem njihovih složeno povezanih kombinacija, na razini zgrada i infrastrukture. Glavna metodološka odrednica LARESa su matematička optimizacija i prediktivno upravljanje

Computational intelligence based complex adaptive system-of-systems architecture evolution strategy

The dynamic planning for a system-of-systems (SoS) is a challenging endeavor. Large scale organizations and operations constantly face challenges to incorporate new systems and upgrade existing systems over a period of time under threats, constrained budget and uncertainty. It is therefore necessary for the program managers to be able to look at the future scenarios and critically assess the impact of technology and stakeholder changes. Managers and engineers are always looking for options that signify affordable acquisition selections and lessen the cycle time for early acquisition and new technology addition. This research helps in analyzing sequential decisions in an evolving SoS architecture based on the wave model through three key features namely; meta-architecture generation, architecture assessment and architecture implementation. Meta-architectures are generated using evolutionary algorithms and assessed using type II fuzzy nets. The approach can accommodate diverse stakeholder views and convert them to key performance parameters (KPP) and use them for architecture assessment. On the other hand, it is not possible to implement such architecture without persuading the systems to participate into the meta-architecture. To address this issue a negotiation model is proposed which helps the SoS manger to adapt his strategy based on system owners behavior. This work helps in capturing the varied differences in the resources required by systems to prepare for participation. The viewpoints of multiple stakeholders are aggregated to assess the overall mission effectiveness of the overarching objective. An SAR SoS example problem illustrates application of the method. Also a dynamic programing approach can be used for generating meta-architectures based on the wave model. --Abstract, page iii

Energy Management Strategies in Production Environments with Support of Solar Energy.

Tesis doctoral en período de exposición públicaDoctorado en Informática (RD99/11) (8908