Übersicht			Auf mobile öffnen

Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	März 2018
Genre:	Naturwissensch., Medizin, Technik
	Applications of Nonlinear Dynamics and Chaos Theory / Applied Dynamical Systems / B / complexity / Computational complexity / Control and Systems Theory / Control engineering / Cybernetics & systems theory / Dynamics & statics / engineering / Nonlinear Optics / Nonlinear science / Statistical physics / System Theory / Systems Theory, Control mehr...
ISBN:	9783319804392
EAN-Code:	9783319804392
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	#54 - Studies in Systems, Decision and Control
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	433 gr
Seiten:	263
Illustration:	XVI, 263 p. 47 illus., 39 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

The book addresses the control issues such as stability analysis, control synthesis and filter design of Markov jump systems with the above three types of TPs, and thus is mainly divided into three parts. Part I studies the Markov jump systems with partially unknown TPs. Different methodologies with different conservatism for the basic stability and stabilization problems are developed and compared. Then the problems of state estimation, the control of systems with time-varying delays, the case involved with both partially unknown TPs and uncertain TPs in a composite way are also tackled. Part II deals with the Markov jump systems with piecewise homogeneous TPs. Methodologies that can effectively handle control problems in the scenario are developed, including the one coping with the asynchronous switching phenomenon between the currently activated system mode and the controller/filter to be designed. Part III focuses on the Markov jump systems with memory TPs. The concept of ?-meansquare stability is proposed such that the stability problem can be solved via a finite number of conditions. The systems involved with nonlinear dynamics (described via the Takagi-Sugeno fuzzy model) are also investigated. Numerical and practical examples are given to verify the effectiveness of the obtained theoretical results. Finally, some perspectives and future works are presented to conclude the book.