000			03287nam a22003854u 4500
001			10.1002/9781394196432
003			Wiley
005			20251030120313.0
007			cr nn 008mam|a
008			231113t2023||||xxu fs| |0|| 0|eng||
020			_a9781394196432 _qelectronic
024	7		_a10.1002/9781394196432 _2doi
041			_aeng
100	1		_aKhaki‐Sedigh, Ali _4aut _991850
245	1	3	_aAn Introduction to Data‐Driven Control Systems _h[electronic resource] _cAli Khaki‐Sedigh
250			_a1
260			_bWiley _c2023
264		1	_bWiley _c2023
300			_a384pp.;
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _2rdaft
347			_bPDF
520			_aAn Introduction to Data-Driven Control Systems An introduction to the emerging dominant paradigm in control design Model-based approaches to control systems design have long dominated the control systems design methodologies. However, most models require substantial prior or assumed information regarding the plant's structure and internal dynamics. The data-driven paradigm in control systems design, which has proliferated rapidly in recent decades, requires only observed input-output data from plants, making it more flexible and broadly applicable. An Introduction to Data-Driven Control Systems provides a foundational overview of data-driven control systems methodologies. It presents key concepts and theories in an accessible way, without the need for the complex mathematics typically associated with technical publications in the field, and raises the important issues involved in applying these approaches. The result is a highly readable introduction to what promises to become the dominant control systems design paradigm. Readers will also find: An overview of philosophical-historical issues accompanying the emergence of data-driven control systems Design analysis of several conventional data-driven control systems design methodologies Algorithms and simulation results, with numerous examples, to facilitate the implementation of methods An Introduction to Data-Driven Control Systems is ideal for students and researchers in control theory or any other research area related to plant design and production.
650		4	_aControl Systems Technology _991457
650		4	_aSystems Engineering & Management
650		4	_aControl Process & Measurements _991645
653	0	0	_aControl systems; controller design; data-driven control; model-based control design techniques; input-output estimates; adaptive control; systems behavior; philosophy of control systems design; unfalsified adaptive control; virtual reference feedback theory; Simultaneous Perturbation Stochastic Approximation; Willem's fundamental lemma; Koopman theory, model free adaptive control
776	0	8	_iPrinted edition: _z9781394196401
856	4	0	_uhttps://doi.org/10.1002/9781394196432 _aWiley Online Library
856	4	0	_uhttps://onlinelibrary.wiley.com/action/showBook?doi=10.1002%2F9781394196432 _aWiley Online Library
856	4	2	_3Cover Image _uhttps://onlinelibrary.wiley.com/cms/asset/9d2b660f-7953-4e02-b82d-0adae23463e9/9781394196432.cover.gif _aWiley Online Library
999			_c67116 _d67116