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Hardcover. Condition: Very Good. 1466584599 Very Good+; Hardcover; Very light wear to the covers; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; The binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Black covers with title in white lettering; 2014, CRC Press; 345 pages; "Nonlinear Control of Dynamic Networks (Automation and Control Engineering)," by Tengfei Liu, et al.
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Published by Taylor & Francis Ltd, 2017
ISBN 10: 1138076619 ISBN 13: 9781138076617
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Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 708.
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Published by Taylor & Francis Group, 2014
ISBN 10: 1466584599 ISBN 13: 9781466584594
Language: English
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Condition: New. pp. 345 Index.
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Add to basketPaperback. Condition: Brand New. reprint edition. 345 pages. 9.25x6.14x0.78 inches. In Stock.
Published by Taylor & Francis Group, 2014
ISBN 10: 1466584599 ISBN 13: 9781466584594
Language: English
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Published by CRC Press 2014-04-15, 2014
ISBN 10: 1466584599 ISBN 13: 9781466584594
Language: English
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Dr. Tengfei Liu holds a BE in automation and ME in control theory and engineering from the South China University of Technology, Guangzhou, as well as a Ph.D in engineering from the Australian National University, Acton, Canberra. He is a visiting.
Published by Taylor & Francis Group, 2014
ISBN 10: 1466584599 ISBN 13: 9781466584594
Language: English
Seller: Majestic Books, Hounslow, United Kingdom
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This text tackles newly arising theoretical and real-world challenges for stability analysis and control design. It first reviews the nonlinear small-gain theorems, and then presents novel cyclic-small-gain theorems for large-scale nonlinear dynamic networks, a cyclic-small-gain framework for nonlinear control with static or dynamic quantization, a combination of cyclic-small-gain and set-valued map designs for robust control of nonlinear uncertain systems subject to sensor noise, and a cyclic-small-gain result in directed graphs and distributed control of nonlinear multi-agent systems with fixed or dynamically changing topology.