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006			m o d
007			cr cnu|||unuuu
008			170525s2017 sz a ob 000 0 eng d
020			_a3319550349
020			_a3319550365 _q(electronic bk.)
020			_a9783319550343
020			_a9783319550367 _q(electronic bk.)
020			_z9783319550343 _q(print)
040			_aGW5XE _cGW5XE _dYDX _dUAB _dESU _dAZU _dUPM _dIOG _dCOO _dMERER _dVT2 _dOCLCQ _dU3W _dES-MaUEC _bspa
050		4	_aTJ217 _b.H335 2017 EB
066			_c(S
100	1		_aHackl, Christoph M., _eautor
245	1	0	_aNon-identifier based adaptive control in mechatronics : _btheory and application _cChristoph M. Hackl.
264		1	_aCham, Switzerland _bSpringer _c2017.
300			_a1 recurso en línea (xxi, 652 páginas) _bilustraciones (algunas a color)
336			_aTexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_atext file _bPDF
490	0		_aLecture notes in control and information sciences _x0170-8643 _vvolume 466
500			_aSpringerLink
504			_aIncluye referencias bibliográficas
520	3		_aThis book introduces non-identifier-based adaptive control (with and without internal model) and its application to the current, speed and position control of mechatronic systems such as electrical synchronous machines, wind turbine systems, industrial servo systems, and rigid-link, revolute-joint robots. In mechatronics, there is often only rough knowledge of the system. Due to parameter uncertainties, nonlinearities and unknown disturbances, model-based control strategies can reach their performance or stability limits without iterative controller design and performance evaluation, or system identification and parameter estimation. The non-identifier-based adaptive control presented is an alternative that neither identifies the system nor estimates its parameters but ensures stability. The adaptive controllers are easy to implement, compensate for disturbances and are inherently robust to parameter uncertainties and nonlinearities. For controller implementation only structural system knowledge (like relative degree, input-to-state stable zero dynamics and known sign of the high-frequency gain) is required. Moreover, the presented controllers guarantee reference tracking with prescribed asymptotic or transient accuracy, i.e. the tracking error eventually tends to or for all time evolves within an a priori specified region. The book presents the theory, modeling and application in a general but detailed and self-contained manner, making it easy to read and understand, particularly for newcomers to the topics covered.
588	0		_aOnline resource; title from PDF title page (SpringerLink, viewed May 25, 2017).
988			_aEBOOK, EBSPRINGER_2017D
650		7	_2embne _aIngeniería mecánica _9146662
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=http://link.springer.com/10.1007/978-3-319-55036-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
880	0		_6505-00/(S _aMotivation and outline -- Brief historical overview of control systems, mechatronics and motion control -- Problem statement for mechatronic systems -- Contributions of this book -- Mathematical preliminaries -- High-gain adaptive stabilization -- High-gain adaptive tracking with internal model -- Adaptive λ-tracking control -- Funnel control -- Joint position control of rigid-link revolute-joint robotic manipulator -- Conclusion -- Problems and solutions.
942			_2lcc _cLE
998			_b02/2018 _dz _e- _zSI