Sell, buy or rent Murad Abu-Khalaf textbooks

9781849965842-1849965846-Nonlinear H2/H-Infinity Constrained Feedback Control: A Practical Design Approach Using Neural Networks (Advances in Industrial Control)
9781849965842-1849965846-Nonlinear H2/H-Infinity Constrained Feedback Control: A Practical Design Approach Using Neural Networks (Advances in Industrial Control)

Nonlinear H2/H-Infinity Constrained Feedback Control: A Practical Design Approach Using Neural Networks (Advances in Industrial Control)

by Murad Abu-Khalaf
ISBN-13: 9781849965842
ISBN-10: 1849965846
Edition: Softcover reprint of hardcover 1st ed. 2006
Publication date: 2010
Publisher: Springer
Format: Paperback 224 pages
Sell Shop now at Amazon
9783639272956-3639272951-DISCRETE-TIME CONTROL ALGORITHMS DESIGN: DISCRETE-TIME CONTROL ALGORITHMS AND ADAPTIVE INTELLIGENT SYSTEMS DESIGNS
9783639272956-3639272951-DISCRETE-TIME CONTROL ALGORITHMS DESIGN: DISCRETE-TIME CONTROL ALGORITHMS AND ADAPTIVE INTELLIGENT SYSTEMS DESIGNS

DISCRETE-TIME CONTROL ALGORITHMS DESIGN: DISCRETE-TIME CONTROL ALGORITHMS AND ADAPTIVE INTELLIGENT SYSTEMS DESIGNS

by Asma Al Tamimi, Murad Abu Khalaf, Frank Lewis
ISBN-13: 9783639272956
ISBN-10: 3639272951
Publication date: 2010
Publisher: VDM Verlag Dr. Müller
Format: Paperback 140 pages
Sell Shop now at Amazon
9781846283499-1846283493-Nonlinear H2/H-Infinity Constrained Feedback Control: A Practical Design Approach Using Neural Networks (Advances in Industrial Control)
9781846283499-1846283493-Nonlinear H2/H-Infinity Constrained Feedback Control: A Practical Design Approach Using Neural Networks (Advances in Industrial Control)

Nonlinear H2/H-Infinity Constrained Feedback Control: A Practical Design Approach Using Neural Networks (Advances in Industrial Control)

by Murad Abu-Khalaf, Jie Huang, Frank L. Lewis
ISBN-13: 9781846283499
ISBN-10: 1846283493
Edition: 2006
Publisher: Springer
Format: Hardcover 224 pages
Sell Buy from $179.78 eBook from $44.70
cookies

We use cookies to ensure website functionality: improve our services, personalize your experience, analyze performance and traffic, and process orders efficiently. To learn more, check our Privacy Policy.