1. Introduction; Part I. Modelling Large-Scale Dynamic Networks: 2. Generic modelling for MIMO LTI systems; 3. Signal flow models of dynamic networks; 4. Models of networks of local LTI systems; 5. Classification of models of networks of LTI systems; Part II. The Identification Methods: 6. Identification of signal flow dynamic networks; 7. Subspace-like identification of multi-dimensional systems; 8. Subspace identification of local systems in an NDS; 9. Estimating structured state-space models; Part III. Illustrating with an Application to Adaptive Optics: 10. Towards control of large-scale adaptive optics systems; 11. Conclusions.