Ergebnisse für: Networked control structure

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Buch Cover Handling Uncertainty and Networked Structure in Robot Control
This book focuses on two challenges posed in robot control by the increasing adoption of robots in the everyday human environment: uncertainty and networked communication. Part I of the book describes learning control to address environmental uncertainty. Part II discusses state estimation, active s...
Buch Cover Networked Control of Multi-Agent Systems
During the last decade, networked control systems have developed as a new area of control theory, which studies a set of physical components and control systems that are connected by a digital communication network. Potential application areas are multi-vehicle systems (e.g. platoons on highways) or...
Buch Cover Variable-Structure Systems and Sliding-Mode Control
The book covers the latest theoretical results and sophisticated applications in the field of variable-structure systems and sliding-mode control. This book is divided into four parts. Part I discusses new higher-order sliding-mode algorithms, including new homogeneous controllers and differentiat...
Buch Cover Variable Gain Design in Stochastic Iterative Learning Control
This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance mult...
Buch Cover Handling Uncertainty and Networked Structure in Robot Control
This book focuses on two challenges posed in robot control by the increasing adoption of robots in the everyday human environment: uncertainty and networked communication. Part I of the book describes learning control to address environmental uncertainty. Part II discusses state estimation, active s...
Buch Cover Handling Uncertainty and Networked Structure in Robot Control
This book focuses on two challenges posed in robot control by the increasing adoption of robots in the everyday human environment: uncertainty and networked communication. Part I of the book describes learning control to address environmental uncertainty. Part II discusses state estimation, active s...
Buch Cover Networked Control of Multi-Agent Systems
During the last decade, networked control systems have developed as a new area of control theory, which studies a set of physical components and control systems that are connected by a digital communication network. Potential application areas are multi-vehicle systems (e.g. platoons on highways) or...
Buch Cover Networked Control of Multi-Agent Systems
During the last decade, networked control systems have developed as a new area of control theory, which studies a set of physical components and control systems that are connected by a digital communication network. Potential application areas are multi-vehicle systems (e.g. platoons on highways) or...
Buch Cover Variable-Structure Systems and Sliding-Mode Control
The book covers the latest theoretical results and sophisticated applications in the field of variable-structure systems and sliding-mode control. This book is divided into four parts. Part I discusses new higher-order sliding-mode algorithms, including new homogeneous controllers and differentiat...
Buch Cover Variable-Structure Systems and Sliding-Mode Control
The book covers the latest theoretical results and sophisticated applications in the field of variable-structure systems and sliding-mode control. This book is divided into four parts. Part I discusses new higher-order sliding-mode algorithms, including new homogeneous controllers and differentiat...
Buch Cover Variable Gain Design in Stochastic Iterative Learning Control
This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance mult...
Buch Cover Variable Gain Design in Stochastic Iterative Learning Control
This book investigates the critical gain design in stochastic iterative learning control (SILC), including four specific gain design strategies: decreasing gain design, adaptive gain design, event-triggering gain design, and optimal gain design. The key concept for the gain design is to balance mult...
Buch Cover Multi-Sensor Information Fusion
This book includes papers from the section “Multisensor Information Fusion”, from Sensors between 2018 to 2019. It focuses on the latest research results of current multi-sensor fusion technologies and represents the latest research trends, including traditional information fusion technologies, ...

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