Event-Triggered and Time-Triggered Control Paradigms

Roman Obermaisser

ISBN 10: 144193569X / ISBN 13: 9781441935694

Verlag: Springer, 2010

Beschreibung

pp. 164.

Bestandsnummer des Verkäufers 263091743

Bibliografische Details

• Titel: Event-Triggered and Time-Triggered Control Paradigms
• Verlag: Springer
• Erscheinungsjahr: 2010
• Sprache: Englisch
• ISBN-10: 144193569X
• ISBN-13: 9781441935694
• Einband: Softcover
• Zustand: New

Über diesen Titel

Inhaltsangabe

ForewordPreface1: INTRODUCTION1.1 Goal of this book1.2 Overview2: BASIC CONCEPTS AND RELATED WORK2.1 Distributed Real-Time Systems2.2 Concepts of Dependability2.3 Degrees of Synchrony2.4 Communication System Paradigms2.5 Computational Models2.6 System Architectures3: REQUIREMENTS OF AN INTEGRATED ARCHITECTURE3.1 Integration Directions3.2 Required Properties3.3 Generic Architectural Services4: INTEGRATION OF EVENT-TRIGGERED AND TIME-TRIGGERED CONTROL PARADIGMS4.1 Synchrony Model4.2 Architecture4.3 Component Level4.4 Dependability Mechanisms4.5 Membership Information5.CAN EMULATION IN THE TTA5.1 The Time-Triggered Architecture 5.2 Controller Area Network5.3 Requirements and Objectives5.4 CAN Communication Services in the TTA 5.5 Implementation6: RESULTS AND VALIDATION6.1 Validation Objectives6.2 Transmission Latencies6.3 Input Message Sets6.4 Simulations and Measurements6.5 Authentic CAN Communication Service6.6 Extended CAN Communication Service6.7 Solving of Dependability Problems of the CAN Protocol7: CONCLUSIONReferencesIndex

Von der hinteren Coverseite

Event-Triggered and Time-Triggered Control Paradigms presents a valuable survey about existing architectures for safety-critical applications and discusses the issues that must be considered when moving from a federated to an integrated architecture. The book focuses on one key topic--the amalgamation of the event-triggered and the time-triggered control paradigm into a coherent integrated architecture. The architecture provides for the integration of independent distributed application subsystems by introducing multi-criticality nodes and virtual networks of known temporal properties.