While automatic control and system identification have evolved very rapidly in recent years, there is still an important disjunction between the ideas in theoretical texts and what goes on in real plant. There are very few situations in which 'out-of-the-box' theory fits practical application without simplification and adjustment. 'Identification and Control' meets the difficulty of making practical use of new systems theory head on, presenting a selection of varied applications together with relevant theory. This volume shows how workable identification and control solutions can be derived by adapting and extrapolating from the theory. Each chapter has a common structure: a brief presentation of theory; the description of a particular application; experimental results; and a section highlighting, explaining and laying out solutions to the discrepancy between the theoretical and the practical. This collection faces a well-known but often-evaded problem squarely and helps it readers to prevail against it.

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