Bringing together the latest research in the field, Robust Tracking Control of Robot Manipulators is the first book to provide systematic methods for stabilizing unwanted flexible, uncertain, and unmodeled dynamics. The authors present a thorough comparison of state-of-the-art and classical designs of all controls: linear or nonlinear (simple or complicated), conventional or robust, adaptive or learning. Focusing on control design and performance analysis, this book will help you to apply advanced controls effectively and to establish equivalent and different robustness. This book will be invaluable as a guide to researchers and practicing engineers in the field of robot control, automation, and robotic engineering. It will also serve as a useful reference for control of robot manipulators and mechanical-electrical systems.

Robust Tracking Control of Robot Manipulators

Engineering & Transportation

Dawson, Darren M.

Qu, Zhihua

Engineering

IEEE

Stability theory has allowed us to study both qualitative and quantitative properties of dynamical systems, and control theory has played a key role in designing numerous systems. Contemporary sensing and communication n- works enable collection and subscription of geographically-distributed inf- mation and such information can be used to enhance signi?cantly the perf- manceofmanyofexisting systems. Throughasharedsensing/communication network,heterogeneoussystemscannowbecontrolledtooperaterobustlyand autonomously; cooperative control is to make the systems act as one group and exhibit certain cooperative behavior, and it must be pliable to physical and environmental constraints as well as be robust to intermittency, latency and changing patterns of the information ?ow in the network. This book attempts to provide a detailed coverage on the tools of and the results on analyzing and synthesizing cooperative systems. Dynamical systems under consideration can be either continuous-time or discrete-time, either linear or non-linear, and either unconstrained or constrained. Technical contents of the book are divided into three parts. The ?rst part consists of Chapters 1, 2, and 4. Chapter 1 provides an overview of coope- tive behaviors, kinematical and dynamical modeling approaches, and typical vehicle models. Chapter 2 contains a review of standard analysis and design tools in both linear control theory and non-linear control theory. Chapter 4 is a focused treatment of non-negativematrices and their properties,multipli- tive sequence convergence of non-negative and row-stochastic matrices, and the presence of these matrices and sequences in linear cooperative systems.

Cooperative Control of Dynamical Systems: Applications to Autonomous Vehicles

Computers & Technology

Computer Science

Springer

Autonomous vehicle systems are becoming an important fact of modern life. This book covers the control design issues in the cooperative control of multiple vehicles, including new results on feedback stabilization and smooth control of nonholonomic systems.

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