Effective and Robust Generalized Predictive Speed Control of Induction Motor

14 p.

Low Climate Stabilisation under Diverse Growth and Convergence Scenarios

4 p.

Low Climate Stabilisation under Diverse Growth and Convergence Scenarios

9 p.

Museos, memoria y turismo

Cap. 1. Museos y patrimonio: de la distancia retórica a la interlocución democrática. Iñaki Díaz Balerdi. Cap. 2. Au coeur des conflits entre memoire, histoire et developpement economique, les nouveaux enjeux des musees de société aujourd’hui. François Hubert. Cap. 3. Elites, Instituciones Públicas, identidad cultural y turismo en los orígenes del Museo Municipal de Donostia-San Sebastián. Iñaki Arrieta Urtizberea. Cap. 4. Los orígenes de la museografía etnográfica en Cataluña: el Arxiu-Museu Folklòric de Ripoll. Oriol Beltran Costa. Cap. 5. Museo de la Pesca en Palamós: espacio para la memoria de los pescadores. Miquel Martí i Llambrich. Cap. 6. Arqueología y museos en Gipuzkoa; las experiencias del Centro de Estudios ARKEOLAN (1986-2005). Mª Mercedes Urteaga Artigas. Cap. 7. Penser un Musée des Confluences: un autre discours sur soi et les autres que soi. Thierry Valentin. Cap. 8. Turismo cultural y museos: oportunidades de desarrollo comunes. El caso de Cesis, Letonia. María Fernández Sabau. Cap. 9. La gestión y el uso turístico de los museos: la experiencia de Barcelona. Jordi Juan Tresserras y Juan Carlos Matamala. Cap. 10. Museos, turismo y desarrollo local en el norte de Portugal: el Ecomuseo del Barroso. Xerardo Pereiro. Cap. 11. Turismo y patrimonio cultural en las pequeñas y medianas ciudades: el Barri Vell de Girona y el Museu d’Art de Girona. Josep Manuel Rueda Torres.

Stability analysis of RF amplifiers based on MIMO pole-zero identification

Spurious oscillations are one of the principal issues faced by microwave and RF circuit designers. The rigorous detection of instabilities or the characterization of measured spurious oscillations is still an ongoing challenge. This project aims to create a new stability analysis CAD program that tackles this chal- lenge. Multiple Input Multiple Output (MIMO) pole-zero identification analysis is introduced on the program as a way to create new methods to automate the stability analysis process and to help designers comprehend the obtained results and prevent incorrect interpretations. The MIMO nature of the analysis contributes to eliminate possible controllability and observability losses and helps differentiate mathematical and physical quasi-cancellations, products of overmodeling. The created program reads Single Input Single Output (SISO) or MIMO frequency response data, and determines the corresponding continuous transfer functions with Vector Fitting. Once the transfer function is calculated, the corresponding pole/zero diagram is mapped enabling the designers to analyze the stability of an amplifier. Three data processing methods are introduced, two of which consist of pole/zero elimina- tions and the latter one on determining the critical nodes of an amplifier. The first pole/zero elimination method is based on eliminating non resonant poles, whilst the second method eliminates the poles with small residue by assuming that their effect on the dynamics of a system is small or non-existent. The critical node detection is also based on the residues; the node at which the effect of a pole on the dynamics is highest is defined as the critical node. In order to evaluate and check the efficiency of the created program, it is compared via examples with another existing commercial stability analysis tool (STAN tool). In this report, the newly created tool is proved to be as rigorous as STAN for detecting instabilities. Additionally, it is determined that the MIMO analysis is a very profitable addition to stability analysis, since it helps to eliminate possible problems of loss of controllability, observability and overmodeling.