Описание: This book mainly deals with grassland digitalization and recognition through computer vision, which will make contributions to implement of grass auto recognition and data acquisition.
Автор: Yiannis Boutalis; Dimitrios Theodoridis; Theodore Название: System Identification and Adaptive Control ISBN: 3319063634 ISBN-13(EAN): 9783319063638 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control.
Описание: Modelling and system identification.- Advanced control methods.- Signal processing for condition monitoring and fault diagnosis.- Applications.
Автор: Ruiyun Qi; Gang Tao; Bin Jiang Название: Fuzzy System Identification and Adaptive Control ISBN: 3030198812 ISBN-13(EAN): 9783030198817 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Поставка под заказ.
Описание: This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi–Sugeno (T–S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic study of fuzzy system identification and control problems, using T–S fuzzy system tools for both function approximation and feedback control of nonlinear systems. Alongside this framework, the book also: introduces basic concepts of fuzzy sets, logic and inference system; discusses important properties of T–S fuzzy systems; develops offline and online identification algorithms for T–S fuzzy systems; investigates the various controller structures and corresponding design conditions for adaptive control of continuous-time T–S fuzzy systems; develops adaptive control algorithms for discrete-time input–output form T–S fuzzy systems with much relaxed design conditions, and discrete-time state-space T–S fuzzy systems; and designs stable parameter-adaptation algorithms for both linearly and nonlinearly parameterized T–S fuzzy systems. The authors address adaptive fault compensation problems for T–S fuzzy systems subject to actuator faults. They cover a broad spectrum of related technical topics and to develop a substantial set of adaptive nonlinear system control tools. Fuzzy System Identification and Adaptive Control helps engineers in the mechanical, electrical and aerospace fields, to solve complex control design problems. The book can be used as a reference for researchers and academics in nonlinear, intelligent, adaptive and fault-tolerant control.
Автор: Guo Название: Nonlinear Control Techniques ISBN: 1138634220 ISBN-13(EAN): 9781138634220 Издательство: Taylor&Francis Рейтинг: Цена: 19140.00 р. Наличие на складе: Поставка под заказ.
Описание: Nonlinear Control Techniques for Electro-Hydraulic Actuators in Robotics Engineering meets the needs of those working in advanced electro-hydraulic controls for modern mechatronic and robotic systems.
Автор: Miguel Aranda; Gonzalo L?pez-Nicol?s; Carlos Sag?? Название: Control of Multiple Robots Using Vision Sensors ISBN: 3319578278 ISBN-13(EAN): 9783319578279 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This monograph introduces novel methods for the control and navigation of mobile robots using multiple-1-d-view models obtained from omni-directional cameras. This approach overcomes field-of-view and robustness limitations, simultaneously enhancing accuracy and simplifying application on real platforms. The authors also address coordinated motion tasks for multiple robots, exploring different system architectures, particularly the use of multiple aerial cameras in driving robot formations on the ground. Again, this has benefits of simplicity, scalability and flexibility. Coverage includes details of:
a method for visual robot homing based on a memory of omni-directional images;
a novel vision-based pose stabilization methodology for non-holonomic ground robots based on sinusoidal-varying control inputs;
an algorithm to recover a generic motion between two 1-d views and which does not require a third view;
a novel multi-robot setup where multiple camera-carrying unmanned aerial vehicles are used to observe and control a formation of ground mobile robots; and
three coordinate-free methods for decentralized mobile robot formation stabilization.
The performance of the different methods is evaluated both in simulation and experimentally with real robotic platforms and vision sensors.
Control of Multiple Robots Using Vision Sensors will serve both academic researchers studying visual control of single and multiple robots and robotics engineers seeking to design control systems based on visual sensors.
Описание: This book focuses on the implementation, evaluation and application of DNA/RNA-based genetic algorithms in connection with neural network modeling, fuzzy control, the Q-learning algorithm and CNN deep learning classifier.
Описание: This book focuses on the implementation, evaluation and application of DNA/RNA-based genetic algorithms in connection with neural network modeling, fuzzy control, the Q-learning algorithm and CNN deep learning classifier.
Описание: The objective of this dissertation is to advance the state-of-the-art in the kinematic modeling, identification, and control of robotic manipulators with rigid links in an effort to improve robot kinematic performance.
Автор: Yiannis Boutalis; Dimitrios Theodoridis; Theodore Название: System Identification and Adaptive Control ISBN: 3319354124 ISBN-13(EAN): 9783319354125 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presenting current trends in the development and applications of intelligent systems in engineering, this monograph focuses on recent research results in system identification and control.
Описание: The objective of this dissertation is to advance the state-of-the-art in the kinematic modeling, identification, and control of robotic manipulators with rigid links in an effort to improve robot kinematic performance.
Автор: Duc T. Pham; Xing Liu Название: Neural Networks for Identification, Prediction and Control ISBN: 1447132467 ISBN-13(EAN): 9781447132462 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In recent years, there has been a growing interest in applying neural networks to dynamic systems identification (modelling), prediction and control. The neural network types considered in detail are the muhilayer perceptron (MLP), the Elman and Jordan networks and the Group-Method-of-Data-Handling (GMDH) network.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
