000			03750nam a22005055i 4500
001			978-94-007-2300-9
003			DE-He213
005			20140220083340.0
007			cr nn 008mamaa
008			111115s2012 ne | s |||| 0|eng d
020			_a9789400723009 _9978-94-007-2300-9
024	7		_a10.1007/978-94-007-2300-9 _2doi
050		4	_aTJ210.2-211.495
050		4	_aTJ163.12
072		7	_aTJFM _2bicssc
072		7	_aTJFD _2bicssc
072		7	_aTEC004000 _2bisacsh
072		7	_aTEC037000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aSanfelice Bazanella, Alexandre. _eauthor.
245	1	0	_aData-Driven Controller Design _h[electronic resource] : _bThe H2 Approach / _cby Alexandre Sanfelice Bazanella, Lucíola Campestrini, Diego Eckhard.
264		1	_aDordrecht : _bSpringer Netherlands : _bImprint: Springer, _c2012.
300			_aXX, 208 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aCommunications and Control Engineering, _x0178-5354
505	0		_aDefinitions -- H2 Performance Criteria -- One-shot Optimization - the VRFT Method -- Interactive Optimization -- Convergence to the Globally Optimal Controller -- Cost Function Shaping -- Computations -- Experimental Results.
520			_aData-driven methodologies have recently emerged as an important paradigm alternative to model-based controller design and several such methodologies are formulated as an H2 performance optimization. This book presents a comprehensive theoretical treatment of the H2 approach to data-driven control design. The fundamental properties implied by the H2 problem formulation are analyzed in detail, so that common features to all solutions are identified. Direct methods (VRFT) and iterative methods (IFT, DFT, CbT) are put under a common theoretical framework. The choice of the reference model, the experimental conditions, the optimization method to be used, and several other designer’s choices are crucial to the quality of the final outcome, and firm guidelines for all these choices are derived from the theoretical analysis presented. The practical application of the concepts in the book is illustrated with a large number of practical designs performed for different classes of processes: thermal, fluid processing and electromechanical. Covers data-driven control design, using four different data-driven design methodologies: VRFT, IFT, DFT, CbT; Employs both theoretical formalism and practical insights; Provides experimental results illustrating the application of the methodologies for the main classes of processes found in industry: mechanical, thermal, and fluid processing; Analyzes design choices in depth; processes demonstrated such that readers easily can connect the results obtained with the theory presented; Enables readers to understand the potential and limitations of each data-driven methodology for his/her particular application, chose the best methodology for his/her application, and code it with the appropriate design choices.
650		0	_aEngineering.
650		0	_aEngineering mathematics.
650	1	4	_aEngineering.
650	2	4	_aControl, Robotics, Mechatronics.
650	2	4	_aAppl.Mathematics/Computational Methods of Engineering.
700	1		_aCampestrini, Lucíola. _eauthor.
700	1		_aEckhard, Diego. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9789400722996
830		0	_aCommunications and Control Engineering, _x0178-5354
856	4	0	_uhttp://dx.doi.org/10.1007/978-94-007-2300-9
912			_aZDB-2-ENG
999			_c104439 _d104439