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11 Ergebnisse.

Zhang-Gradient Control

Zhang, Yunong / Li, Xiaodong / Qiu, Binbin
Zhang-Gradient Control
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, ...

CHF 134.00

Zhang-Gradient Control

Zhang, Yunong / Li, Xiaodong / Qiu, Binbin
Zhang-Gradient Control
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, ...

CHF 134.00

Zeroing Dynamics, Gradient Dynamics, and Newton Iterations

Zhang, Yunong / Xiao, Lin / Xiao, Zhengli / Mao, Mingzhi
Zeroing Dynamics, Gradient Dynamics, and Newton Iterations
This book is the first one that shows how to accurately and efficiently solve time-varying problems in real-time or online using continuous- or discrete-time zeroing dynamics. The authors provide a comprehensive treatment of the theory of both static and dynamic neural networks. They develop, analyze, model, simulate, and compare zeroing dynamics models for the online solution of numerous time-varying problems, such as root finding, nonlinear ...

CHF 99.00

Robot Manipulator Redundancy Resolution

Zhang, Yunong / Jin, Long
Robot Manipulator Redundancy Resolution
Introduces a revolutionary, quadratic-programming based approach to solving long-standing problems in motion planning and control of redundant manipulators This book describes a novel quadratic programming approach to solving redundancy resolutions problems with redundant manipulators. Known as "QP-unified motion planning and control of redundant manipulators" theory, it systematically solves difficult optimization problems of inequality-cons...

CHF 142.00

Repetitive Motion Planning and Control of Redundant Robot...

Zhang, Yunong / Zhang, Zhijun
Repetitive Motion Planning and Control of Redundant Robot Manipulators
Repetitive Motion Planning and Control of Redundant Robot Manipulators presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its extensions. These schemes are unified as quadratic programs (QPs), which are solved by neural networks or numerical algorithms. The RMP schemes are demonstrated effectively by the simulation results based on various robotic models, the experiments app...

CHF 179.00

Zhang Neural Networks & Neural-Dynamic Method

Zhang, Yunong / Yi, Chenfu
Zhang Neural Networks & Neural-Dynamic Method
The real-time solution to a mathematical problem arises in numerous fields of science, engineering, and business. It is usually an essential part of many solutions, e.g., matrix/vector computation, optimisation, control theory, kinematics, signal processing, and pattern recognition. In recent years, due to the in-depth research on neural networks, numerous recurrent neural networks (RNN) based on the gradient-based method have been developed a...

CHF 375.00

Repetitive Motion Planning and Control of Redundant Robot...

Zhang, Zhijun / Zhang, Yunong
Repetitive Motion Planning and Control of Redundant Robot Manipulators
Repetitive Motion Planning and Control of Redundant Robot Manipulators presents four typical motion planning schemes based on optimization techniques, including the fundamental RMP scheme and its extensions. These schemes are unified as quadratic programs (QPs), which are solved by neural networks or numerical algorithms. The RMP schemes are demonstrated effectively by the simulation results based on various robotic models, the experiments app...

CHF 148.00

Recurrent Neural Networks

Zhang, Yunong
Recurrent Neural Networks
Because of massively parallel distributed nature and very fast convergence rates, recurrent neural networks (RNN) are widely applied to solving many problems in optimization, control and robotic systems, etc. Hence, this book investigates the following RNN models which solve some practical problems, together with their corresponding analysis on stability and convergence. A type of multilayer pole-assignment neural networks is applied to online...

CHF 88.00