Andere Kunden interessierten sich auch für
![Reconfigurable Computing]( "Reconfigurable Computing")
Reconfigurable Computing116,99 €![Reconfigurable Computing]( "Reconfigurable Computing")
Reconfigurable Computing105,99 €![Adaptive Fine-tuning for Large-scale Nonlinear Control Systems]( "Adaptive Fine-tuning for Large-scale Nonlinear Control Systems")
Adaptive Fine-tuning for Large-scale Nonlinear Control Systems40,99 €![Worker Performance Modelling in Manufacturing Systems Simulation]( "Worker Performance Modelling in Manufacturing Systems Simulation")
Worker Performance Modelling in Manufacturing Systems Simulation51,99 €![State estimation and control in quasi-polynomial and quantum systems]( "State estimation and control in quasi-polynomial and quantum systems")
State estimation and control in quasi-polynomial and quantum systems44,99 €![TRANSFORMING RECONFIGURABLE SYSTEMS]( "TRANSFORMING RECONFIGURABLE SYSTEMS")
TRANSFORMING RECONFIGURABLE SYSTEMS111,99 €![Reinforcement Learning for Reconfigurable Intelligent Surfaces]( "Reinforcement Learning for Reconfigurable Intelligent Surfaces")
Reinforcement Learning for Reconfigurable Intelligent Surfaces30,99 €
The book deals with reconfigurable embedded control systems following component based approaches. Assuming their behaviors to be adapted by automatic reconfigurations, we define components as software units such that a system is implemented by a network of components. We propose a multi-agent architecture to handle automatic reconfigurations where local scenarios are handled by reconfiguration agents in controllers, and a coordination agent is designed to coordinate between devices. We develop NCES-based optimal models for this architecture, use SESA to verify CTL properties, and address the generation of different real-time reconfigurable execution models for systems. Thereafter, an agent-based technique is engineered allowing low-power reconfigurations of embedded controllers. Finally, optimized simulations of systems are performed.