The implementation of a Neuro-Fuzzy nonlinear adaptive structure, with Local Linear Models (LLM), designed for fuel pressure estimation in diesel common-rail (CR) hydraulic system, represents the main topic. Hydraulic systems, in general, are nonlinear and engineers have often struggled to find the best solution to approximate the input-output dependencies. Powerful tools are necessary for spli...

Water losses associated with inefficiencies in the underground water distribution system are not only causing revenue losses for the local water boards but also significantly negatively affect a country’s national water reserves. Even though assisting in defining the problem and in devising remediation strategies for it, posterior analysis of the causes of such inefficiencies are far from being...

Fuzzy Logic is an innovative technology that enables the implementation of ‘intelligent’ functions in embedded systems. One of its advantages is, that even complicated functions and adaptive control loops can be implemented with the limited resources of low-cost 8 bit microcontrollers. We will discuss development methodologies, tools used, and code speed/size requirements of three case studies....

INTRODUCTION We are developing a controller for a multifunctional hand prosthesis based upon multiple surface electromyograms (sEMG) using neurofuzzy logic technology. The sEMG signal is successfully used as a means of control in current commercially available myoelectric prostheses. However, these are either single degree-of-freedom (DOF) devices or sequential controlled devices with locking m...

in the procedure of designing an underwater vehicle or robot, its maneuverability and controllability must be simulated and tested, before the product is finalized for manufacturing. since the hydrodynamic forces and moments highly affect the dynamic and maneuverability of the system, they must be estimated with a reasonable accuracy. in this study, hydrodynamic coefficients of an autonomous un...

This research looked into the viability of using metaheuristic algorithms in conjunction with an adaptive neurofuzzy system to predict seismicity and earthquakes. Different have been combined artificial intelligence (AI) algorithm. Subjected is a promising factor. The new sensors many advantages over older, more impressive-looking ones, including (a) generally linear relationship between measur...

Prognostic is recognized as a key feature as the estimation of the remaining useful life of an equipment allows avoiding inopportune maintenance spending. However, it can be difficult to implement an efficient prognostic tool since the lack of knowledge on the behavior of an equipment can impede the development of classical dependability analysis. In this context, the general purpose of the wor...