Computer generation of sensitivity functions for sampled-data control systems†
- 1 October 1971
- journal article
- research article
- Published by Taylor & Francis in International Journal of Control
- Vol. 14 (4) , 747-768
- https://doi.org/10.1080/00207177108932085
Abstract
Methods have been presented previously (Suryanarayanan and Soudack 1970) for the generation of sensitivity functions for general non-linear sampled-data systems. In this paper, it is shown that economy of simulator components (for hybrid computer generation) or of computational time (for digital computer generation) is achieved for simultaneously generating a number of sensitivity functions in a class of linear sampled-data control systems. Extensive use of signal flow graph algebra is made for this purpose and comprehensive examples are presented.Keywords
This publication has 5 references indexed in Scilit:
- Method for the generation of sensitivity functions for nonlinear sampled-data systemsElectronics Letters, 1970
- Signal flow graphs of sampled-data systems: A new formulationIEEE Transactions on Automatic Control, 1967
- GRADIENT METHODS FOR THE OPTIMIZATION OF DYNAMIC**This research was supported in part at the University of Southern California under U. S. Air Force Office of Scientific Research Grant No. AF-AFOSR-75-63 and in part at Space Technology Laboratories, Inc., under National Aeronautics and Space Administration Contract NASℓ-2582. SYSTEM PARAMETERS BY HYBRID COMPUTATIONPublished by Elsevier ,1964
- A General Flow Graph Technique for the Solution of Multiloop Sampled SystemsJournal of Basic Engineering, 1960
- The use of parameter influence coefficients in computer analysis of dynamic systemsPublished by Association for Computing Machinery (ACM) ,1960