Experimental modelling: system identification, parameter estimation and model optimisation techniques
Abstract:
This chapter describes the role of system identification and parameter estimation methods and related optimisation techniques within the model development process. These techniques are central to what is termed ‘experimental modelling’ and emphasis is given to issues of identifiability and experimental design. Applications considered are drawn mainly from the field of helicopter modelling from flight test data. Optimisation techniques considered include simulated annealing and genetic algorithm methods as well as gradient-based and search-based techniques. Model structure estimation is approached through physical understanding of ...
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