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Published by John Wiley and Sons Ltd, 2017
ISBN 10: 1119189047 ISBN 13: 9781119189046
Language: English
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ISBN 10: 1119189047 ISBN 13: 9781119189046
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Published by John Wiley and Sons Inc, US, 2017
ISBN 10: 1119189047 ISBN 13: 9781119189046
Language: English
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Add to basketHardback. Condition: New. A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS)Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processesCovers basic theory, rigorous mathematics as well as engineering practice.
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Published by John Wiley & Sons Inc, 2017
ISBN 10: 1119189047 ISBN 13: 9781119189046
Language: English
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Add to basketCondition: New. Num Pages: 272 pages. BIC Classification: TH; TJ. Category: (P) Professional & Vocational. Dimension: 251 x 176 x 46. Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . .
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Published by John Wiley & Sons Inc, 2017
ISBN 10: 1119189047 ISBN 13: 9781119189046
Language: English
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Add to basketBuch. Condition: Neu. Neuware - A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications\* Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS)\* Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processes\* Covers basic theory, rigorous mathematics as well as engineering practice.
Published by John Wiley and Sons Inc, US, 2017
ISBN 10: 1119189047 ISBN 13: 9781119189046
Language: English
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Add to basketHardback. Condition: New. A timely guide using iterative learning control (ILC) as a solution for multi-agent systems (MAS) challenges, showcasing recent advances and industrially relevant applications Explores the synergy between the important topics of iterative learning control (ILC) and multi-agent systems (MAS)Concisely summarizes recent advances and significant applications in ILC methods for power grids, sensor networks and control processesCovers basic theory, rigorous mathematics as well as engineering practice.