Neural networks for modelling and control of a non-linear dynamic system

The authors describe the use of neural nets to model and control a nonlinear second-order electromechanical model of a drive system with varying time constants and saturation effects. A model predictive control structure is used. This is compared with a proportional-integral (PI) controller with regard to performance and robustness against disturbances. Two feedforward network types, the multilayer perceptron and radial-basis-function nets, are used to model the system. The problems involved in the transfer of connectionist theory to practice are discussed

Strategic directions in constraint programming

An abstract is not available

Modelling dynamic processes with clustered time-delay neurons

This paper investigates the modelling capabilities of neural nets for a dynamic nonlinear process. Different neural structures are compared: multilayer perceptron (MLP) and radial basis function network (RBF) with an external tapped delay line, and modifications of both network types using internal delays, called time-delay MLP (TDMLP) and time-delay RBF (TDRBF). The nonlinear process to be modelled is a drive system including some nonlinearities, e.g. saturation effects. A special clustering procedure is introduced in order to increase the modelling accuracy, reduce computation and provide better generalisation

Sprouty1 Controls Genitourinary Development via its N-Terminal Tyrosine

Background: Congenital anomalies of the kidney and urinary tract (CAKUT) is a group of diseases that include a broad spectrum of developmental defects of the genitourinary system. Mouse models indicate that perturbations of the GDNF-Ret signaling pathway are a major genetic cause of CAKUT. Sprouty1 is an intracellular Ret inhibitor whose mutation results in supernumerary kidneys, megaureters, and hydronephrosis in mice. Both the molecular mechanisms and the structural domains critical for Sprouty function are a matter of controversy, partly because studies pursuing this objective rely on ectopic overexpression in cell lines. A conserved N-terminal tyrosine has been frequently, but not always, identified as critical for their function in vitro. Methods: We have generated Sprouty1 knockin mice bearing a tyrosine-to-alanine substitution in position 53, corresponding to the conserved N-terminal tyrosine of Sprouty1. We have characterized development of the genitourinary systems of these mice via different methods, including the use of reporter mice expressing EGFP form the Ret locus, and whole mount cytokeratin staining. Results: Mice lacking this tyrosine grow ectopic ureteric buds that ultimately will form supernumerary kidneys, a phenotype indistinguishable to that of Sprouty1 knockout mice. Sprouty1 knockin mice also present megaureters and vesicoureteral reflux, caused by failure of ureters to separate from Wolffian ducts and migrate to their definitive position. Conclusions: Tyrosine 53 is absolutely necessary to convey Sprouty1 function during genitourinary development.This work was supported by grants BFU2010-47175-P and BFU2017-83646-P (AEI/FEDER, UE) from MINECO to ME. MV was supported by a predoctoral fellowship from AGAUR. CA was supported by a predoctoral fellowship from Universitat de Lleida. SC was supported by a Cofund action from the Marie Curie program of the EU. We are grateful to Dr. Sanjay Jain (Washington University, St Louis) for sharing RetEGFP mice, and to Dr. Tung-Tien Sun (New York University) for Uroplakin antibody. We thank Anna Macià (IRB Lleida) for her contribution to the initial development of this manuscript, as well as Marta Hereu, Maria Santacana, Mónica Domingo and Maria Carrele for their excellent technical assistance

The Functional Mockup Interface for Tool independent Exchange of Simulation Models

The Functional Mockup Interface (FMI) is a tool independent standard for the exchange of dynamic models and for co-simulation. The development of FMI was initiated and organized by Daimler AG within the ITEA2 project MODELISAR. The primary goal is to support the exchange of simulation models between suppliers and OEMs even if a large variety of different tools are used. The FMI was developed in a close collaboration between simulation tool vendors and research institutes. In this article an overview about FMI is given and technical details about the solution are discussed