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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics

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Zhang-Gradient Control (Hardcover, 1st ed. 2021) Loot Price: R2,912
Discovery Miles 29 120
Zhang-Gradient Control (Hardcover, 1st ed. 2021): Yunong Zhang, Binbin Qiu, Xiaodong Li

Zhang-Gradient Control (Hardcover, 1st ed. 2021)

Yunong Zhang, Binbin Qiu, Xiaodong Li

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Loot Price R2,912 Discovery Miles 29 120 | Repayment Terms: R273 pm x 12*

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This book introduces readers to using the simple but effective Zhang-gradient (ZG) method to solve tracking-control problems concerning various nonlinear systems, while also highlighting the applications of the ZG method to tracking control for practical systems, e.g. an inverted-pendulum-on-a-cart (IPC) system and a two-wheeled mobile robot (showing its potential applications). In addition to detailed theoretical analyses of ZG controllers, the book presents a wealth of computer simulations to demonstrate the feasibility and efficacy of the controllers discussed (as well as the method itself). More importantly, the superiority of ZG controllers in overcoming the division-by-zero (DBZ) problem is also illustrated. Given its scope and format, the book is well suited for undergraduate and graduate students, as well as academic and industrial researchers in the fields of neural dynamics/neural networks, nonlinear control, computer mathematics, time-varying problem solving, modeling and simulation, analog hardware, and robotics.

General

Imprint: Springer Verlag, Singapore
Country of origin: Singapore
Release date: November 2020
First published: 2021
Authors: Yunong Zhang • Binbin Qiu • Xiaodong Li
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 282
Edition: 1st ed. 2021
ISBN-13: 978-981-15-8256-1
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
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LSN: 981-15-8256-4
Barcode: 9789811582561

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