In this paper we consider the problem of recursive state and parameter estimation of a nonlinear system. We propose an approach where we combine Particle Filter (for state estimation) and Recursive Least Squares (for parameter estimation) The class of nonlinear systems is motivated by a real process of the copper mining industry. The proposed approach is tested with real data.

 A new approach for simultaneous recursive identification of an unknown time delay of discrete-time delay systems is proposed in this paper. The proposed Levenberg-Marquardt's algorithm is used to deal with the identification problem. The effectiveness of this method has been illustrated through simulation.

 In order to propose a model for describing the behavior of road traffic a parallel with the hydrodynamic theory is made. The road traffic is decomposed into basic elements, which are modeled by similarity with hydrodynamic systems, by assuming that the flow of vehicles is similar to the movement of a fluid through a pipe. The different elements that compose a traffic region are analyzed and a dynamic model is proposed for each such element. The models are validated in simulation.

 In the paper Ionic polymer-polymer composite (IP²C ) membranes are considered. They are usually addressed and studied as sensors or actuators making use of the relationship between voltage and deflection that they exhibit. Here a different use as sensor is proposed, studying some of the effects that a mechanical pressure produces on the output voltage once a constant or a alternate power supply is applied. The most relevant results obtained performing some tests, making use of an ad-hoc experimental set up developed for this purpose, are presented and discussed, putting in evidence the feasibility and the effectiveness of the proposed usage.

 An unorthodox programme for teaching systems and control is developed and tested at the School of Electronics and Computer Science of the University of Southampton. Motivation for the employed teaching methods is Moore's method and S. Papert's book ``Mindstorms: children, computers, and powerful ideas''. The teaching is shifted from lecture instruction to independent work on computer based projects and physical models. Our experience shows that involvement with projects is more effective in stimulating curiosity in systems and control related concepts and in achieving understanding of these concepts. The programme consists of two parts: 1) analytical and computational exercises, using Matlab/Octave, and 2) laboratory exercises, using programmable Lego mindstorms models. Both activities cut across several disciplines---physics, mathematics, computer programming, as well as the subject of the programme---systems and control theory.