Real time programming 1998 : (WRTP'98) : a proceedings volume from the 23rd IFAC/IFIP workshop, Shantou, Guangdong Province, P.R. China, 23-25 June 1998 /
edited by L.-C. Zhang, A.H. Frigeri, W.A. Halang.M. Maranzana.
1st ed.
Kidlington, Oxford ; Terrytown, N.Y. : Published for the International Federation of Automatic Control by Pergamon. 1998.
vii, 169 p. : ill. ; 30 cm.
More Details
Kidlington, Oxford ; Terrytown, N.Y. : Published for the International Federation of Automatic Control by Pergamon. 1998.
general note
Proceedings of the 23rd IFAC/IFIP Workshop on Real Time Programming.
catalogue key
Includes bibliographical references and index.
A Look Inside
Table of Contents
Chapter headings and selected papers: Keynotes
Real-time communications in ATM networks
Real-time scheduling and imprecise computations in control applications
Real Time Communication and Formal Specification
Efficient connection admission control algorithms for adaptive real-time connections over ATM LANs
Scheduling hard and soft real-time communication in the controller area network (CAN)
Operating Systems and Analysis
Schedulability analysis for communicating tasks on a multiprocessor system
Performance evaluation of a multithreaded runtime system using a synchronous reactive model
Real Time Scheduling
Priority scheduling versus pre-run-time scheduling
Integrating run-time scheduling and pre-run-time scheduling real-time processes
Real Time Programming
Pragmatic aid in the design of real-time system software
A cognitive technology approach to the verification of safety critical control software
Embedded Systems
Generation of embedded control systems
Application of a real time signal processor to an on-line correction of a random loading in a fatigue test system
Neural Networks in Real Time Systems
Imprecise neural computation in real-time neural system design
Posters and Reserve Papers
Non-preemptive scheduling to maximize the minimum global inter-completion time (MGICT)
Real time implementation of an embedded microcontroller system working in time-constrained environment
Fast neural network PID control algorithm based on multi-step predictive index function
Author index
Table of Contents provided by Publisher. All Rights Reserved.

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