000			03657nam a22005415i 4500
001			978-3-540-28087-3
003			DE-He213
005			20161121231020.0
007			cr nn 008mamaa
008			100301s2005 gw | s |||| 0|eng d
020			_a9783540280873 _9978-3-540-28087-3
024	7		_a10.1007/3-540-28087-1 _2doi
050		4	_aTJ212-225
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aBubnicki, Zdzislaw. _eauthor.
245	1	0	_aModern Control Theory _h[electronic resource] / _cby Zdzislaw Bubnicki.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2005.
300			_aX, 424 p. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
505	0		_aGeneral Characteristic of Control Systems -- Formal Models of Control Systems -- Control for the Given State (the Given Output) -- Optimal Control with Complete Information on the Plant -- Parametric Optimization -- Application of Relational Description of Uncertainty -- Application of Probabilistic Descriptions of Uncertainty -- Uncertain Variables and Their Applications -- Fuzzy Variables, Analogies and Soft Variables -- Control in Closed-loop System. Stability -- Adaptive and Learning Control Systems -- Intelligent and Complex Control Systems -- Control of Operation Systems.
520			_aThis book presents a unified, systematic description of basic and advanced problems, methods and algorithms of the modern control theory treated as a foundation for the design of computer control and management systems. The scope of the book differs considerably from the topics of classical traditional control theory mainly oriented to the needs of automatic control of technical devices and technological processes. Taking into account a variety of new applications, the book presents traditional analysis and optimization problems for control systems as well as control problems with non-probabilistic models of uncertainty, problems of learning, intelligent, knowledge-based and operation systems important for applications in the control of manufacturing processes, in the project management and in the control of computer systems. Into the uniform framework of the book, original ideas and results based on the author's works concerning uncertain and intelligent knowledge-based control systems, applications of uncertain variables and the control of complexes of operations have been included. The material presented in the book is self-contained. Using the text does not require any previous knowledge of control science. Written as a modern textbook for students in the field of control and information science and engineering, this book will also be useful for researchers and all readers in this field.
650		0	_aEngineering.
650		0	_aArtificial intelligence.
650		0	_aSystem theory.
650		0	_aVibration.
650		0	_aDynamical systems.
650		0	_aDynamics.
650		0	_aControl engineering.
650		0	_aRobotics.
650		0	_aMechatronics.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aControl, Robotics, Mechatronics.
650	2	4	_aVibration, Dynamical Systems, Control.
650	2	4	_aSystems Theory, Control.
650	2	4	_aArtificial Intelligence (incl. Robotics).
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783540239512
856	4	0	_uhttp://dx.doi.org/10.1007/3-540-28087-1
912			_aZDB-2-ENG
950			_aEngineering (Springer-11647)
999			_c507310 _d507310