000			03497nam a22006255i 4500
001			978-981-19-4594-6
003			DE-He213
005			20240207153436.0
007			cr nn 008mamaa
008			220902s2023 si | s |||| 0|eng d
020			_a9789811945946 _9978-981-19-4594-6
050		4	_aTJ212-225
050		4	_aTJ210.2-211.495
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
072		7	_aTJFM _2thema
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100	1		_aNinagawa, Chuzo. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut
245	1	0	_aAI Time Series Control System Modelling _h[electronic resource] / _cby Chuzo Ninagawa.
250			_a1st ed. 2023.
264		1	_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2023.
300			_aXI, 237 p. 192 illus., 1 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
500			_aAcceso multiusuario
505	0		_aIntroduction -- Linear Time Series Modeling -- Deep Learning AI Modeling -- LSTM AI Modeling -- Optimal Control by Time-Series AI Model -- The Reality of Time Series Learning Data Collection -- Practical Work on Time Series AI Modeling.
520			_aThis book describes the practical application of artificial intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modelling of time series data of physical quantities to be controlled in the field of system control. Since dynamic systems are not stable steady states but changing transient states, the changing transient states depend on the state history before the change. In other words, it is essential to predict the change from the present to the future based on the time history of each variable in the target system, and to manipulate the system to achieve the desired change. In short, time series is the key to the application of AI machine learning to system control. This is the philosophy of this book: "time series data" + "AI machine learning" = "new practical control methods". This book can give my helps to undergradate or graduate students, institute researchers and senior engineers whose scientific background are engineering, mathematics, physics and other natural sciences.
541			_fUABC ; _cPerpetuidad
650		0	_aControl engineering.
650		0	_aRobotics.
650		0	_aAutomation.
650		0	_aMachine learning.
650		0	_aArtificial intelligence.
650		0	_aSystem theory.
650		0	_aControl theory.
650	1	4	_aControl, Robotics, Automation.
650	2	4	_aMachine Learning.
650	2	4	_aControl and Systems Theory.
650	2	4	_aArtificial Intelligence.
650	2	4	_aSystems Theory, Control .
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811945939
776	0	8	_iPrinted edition: _z9789811945953
776	0	8	_iPrinted edition: _z9789811945960
856	4	0	_zLibro electrónico _uhttp://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-19-4594-6
912			_aZDB-2-INR
912			_aZDB-2-SXIT
942			_cLIBRO_ELEC
999			_c260244 _d260243