By Marco Lovera

ISBN-10: 1680158325

ISBN-13: 9781680158328

ISBN-10: 1849196141

ISBN-13: 9781849196147

ISBN-10: 184919615X

ISBN-13: 9781849196154

This entire assortment covers the state of the art in control-oriented modelling and identity options. With contributions from prime researchers within the topic, it covers the most equipment and instruments on hand to improve complex mathematical versions compatible for keep watch over approach layout, together with an summary of the issues which may come up through the layout approach. It additionally takes a realistic examine various functions of complex modelling and identity strategies

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**Additional resources for Control-oriented modelling and identification : theory and practice**

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F. Donida, F. Casella, and G. Ferretti. Model order reduction for object-oriented models: A control systems perspective. Mathematical and Computer Modeling of Dynamical Systems, 16(3):269–284, June 2010. H. Elmqvist, M. Otter, and F. Cellier. Inline integration: A new mixed symbolic/ numeric approach for solving differential-algebraic equation systems. In Proc. ESM’95, European Simulation Multiconference, pages xxiii–xxxiv, Prague, Czech Republic, Jun. 5–8, 1995. R. Franke, F. Casella, M. Otter, M.

P. Caspi, D. Pilaud, N. Halbwachs, and J. A. Plaice. Lustre: A declarative language for real-time programming. In Proceedings of the 14th ACM SIGACTSIGPLAN Symposium on Principles of Programming Languages, POPL ’87, pages 178–188, New York, NY, USA, 1987. ACM. F. E. Cellier and E. Kofman. Continuous System Simulation. Springer-Verlag, 2006. E. Christen and K. Bakalar. VHDL-AMS-a hardware description language for analog and mixed-signal applications. Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions, 46(10):1263–1272, 1999.

This allows to carry out a number of activities, besides the straightforward time-domain integration of the DAEs, that are not possible with more traditional procedurally-oriented modelling and simulation tools [9]. One option is to symbolically transform the equations of the model into some specific formalism, which is the starting point for advanced control system analysis and design. 6 Linear fractional representation of a dynamical system involving uncertain and/or time-varying known parameters (collected in the block), as well as known non-linear functions (collected in the block).

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