System identification

Modeling and system identification pay a very significant role in the present day analysis of complex dynamical systems. The information obtained from the application of these techniques can be routinely used for flight simulation, control and prediction of dynamical behaviour of systems. Worldwide there has been significant advancement in the field over the last decade. In a collaborative programme between the Institute of Flight Mechanics, DLR, Braunschweig, Germany and Flight Mechanics and Control Division, NAL, Bangalore, India a symposium on 'System Identification' was organised to commemorate a decade of fruitful cooperation in this field. The symposium focused on the analytical, experimental and application oriented development of parameter estimation techniques and other related topics. Emphasis has been put on the output error and filter error methods, frequency domain methods, unstable and nonlinear systems, modeling of flexible wing, performance optimization, dynamic wind tunnel sumulation, neural network and flight data management methods. (orig.)SIGLEAvailable from TIB Hannover: RN 278(93-14) / FIZ - Fachinformationszzentrum Karlsruhe / TIB - Technische InformationsbibliothekDEGerman