18 books like Lyapunov-based control of robotic systems
Modeling, identification & control of robots
Written by two of Europe's leading robotics experts, this book provides the tools for a unified approach to the modelling of robotic manipulators, whatever their mechanical structure. No other publication covers the three fundamental issues of robotics: modelling, identification and control. It covers the development of various mathematical models required for the control and simulation of…
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Neural network control of robot manipulators and nonlinear systems
Shares: Technology & Industrial Arts, Control systems, Technology, Robots
Decentralized estimation and control for multisensor systems
Decentralized Estimation and Control for Multisensor Systems explores the problem of developing scalable, decentralized estimation and control algorithms for linear and nonlinear multisensor systems. Such algorithms have extensive applications in modular robotics and complex or large scale systems, including the Mars Rover, the Mir station, and Space Shuttle Columbia.Most existing algorithms use…
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Intelligent Control of Robotic Systems
This book illustrates basic principles, along with the development of the advanced algorithms, to realize smart robotic systems. It speaks to strategies by which a robot (manipulators, mobile robot, quadrotor) can learn its own kinematics and dynamics from data. In this context, two major issues have been dealt with; namely, stability of the systems and experimental validations. Learning…
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Zhongguo zao qi ke ji qi kan hui bianYasha Jiang
Zhongguo zao qi ke ji qi kan hui bian
Shares: Technology, Science
Obsolete
Is AI a bubble or humanity’s last invention? An existing harm or an existential threat? Obsolete cuts through the hype and false binaries to answer all the AI questions you have, while raising some you probably aren’t prepared for.The richest companies in history are racing to build a machine that replaces human labor—all of it. And, as this provocative new book insists, the only surefire way…
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Neural Networks for Robotics
The book offers an insight on artificial neural networks for giving a robot a high level of autonomous tasks, such as navigation, cost mapping, object recognition, intelligent control of ground and aerial robots, and clustering, with real-time implementations. The reader will learn various methodologies that can be used to solve each stage on autonomous navigation for robots, from object…
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Imitation and social learning in robots, humans and animals
Mechanisms of imitation and social matching play a fundamental role in development, communication, interaction, learning and culture. Their investigation in different agents (animals, humans and robots) has significantly influenced our understanding of the nature and origins of social intelligence. Whilst such issues have traditionally been studied in areas such as psychology, biology and…
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4-D/RCS, a reference model architecture for Demo III
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Adaptive Control for Robotic Manipulators
The robotic mechanism and its controller make a complete system. As the robotic mechanism is reconfigured, the control system has to be adapted accordingly. The need for the reconfiguration usually arises from the changing functional requirements. This book will focus on the adaptive control of robotic manipulators to address the changed conditions. The aim of the book is to summarise and…
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Autonomous Mobile Robots in Unknown Outdoor Environments
Mobile robots have been increasingly applied in many different scenarios, such as space exploration and search and rescue, where the robots are required to travel over uneven terrain while outdoors. This book provides a new framework and the related algorithms for designing autonomous mobile robotic systems in such unknown outdoor environments.
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Robot Builder's Sourcebook
Written by Gordon McComb, author of the classic Robot Builder’s Bonanza, one of the most popular books ever written on amateur robotics, the Sourcebook lists over 2500 mail-order suppliers and other sources, including local-area businesses, cross-referenced and categorized to make your search quick and easy. You’ll find detailed information about the resources, including addresses and phone…
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Visual Perception and Control of Underwater Robots
Visual Perception and Control of Underwater Robots covers theories and applications from aquatic visual perception and underwater robotics. Within the framework of visual perception for underwater operations, image restoration, binocular measurement, and object detection are addressed. More specifically, the book includes adversarial critic learning for visual restoration, NSGA-II-based…
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Reliability Models of Complex Systems for Robots and Automation
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Renewable energy resources
Renewable Energy Resources is a numerate and quantitative text. It covers the many renewables technologies implemented worldwide by harnessing sustainable resources, mitigating pollution and climate change, and providing cost effective services.This fourth edition is extensively updated by John Twidell with global developments as underpinned by fundamental analysis and illustrated by case studies…
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Robot modeling and control
A New Edition Featuring Case Studies and Examples of the Fundamentals of Robot Kinematics, Dynamics, and ControlIn the 2nd Edition of Robot Modeling and Control, students will cover the theoretical fundamentals and the latest technological advances in robot kinematics. With so much advancement in technology, from robotics to motion planning, society can implement more powerful and dynamic…
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Control and Dynamic Systems
The book emphasizes neural network structures for achieving practical and effective systems, and provides many examples. Practitioners, researchers, and students in industrial, manufacturing, electrical, mechanical,and production engineering will find this volume a unique and comprehensive reference source for diverse application methodologies.Control and Dynamic Systems covers the important…
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Nonlinear Control of Robots and Unmanned Aerial Vehicles
Nonlinear Control of Robots and Unmanned Aerial Vehicles: An Integrated Approach presents control and regulation methods that rely upon feedback linearization techniques. Both robot manipulators and UAVs employ operating regimes with large magnitudes of state and control variables, making such an approach vital for their control systems design. Numerous application examples are included to…
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