In this paper several upper bounds for parameter variations of a linear discrete-time system that is expressed in either matrix or polynomial form are presented. Within these upper bounds the system remains asymptotically stable. These upper bounds, which are only a set of sufficient conditions, are
Computer-aided analysis of linear control system robustness
โ Scribed by Laura Ryan Ray; Robert F. Stengel
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 288 KB
- Volume
- 3
- Category
- Article
- ISSN
- 0957-4158
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โฆ Synopsis
Stochastic robustness is a simple technique used to estimate the stability and performance robustness of linear, time-invariant systems. The use of high-speed graphics workstations and control ~stem design software in stochastic robustness analysis is discussed and demonstrated.
๐ SIMILAR VOLUMES
A brief review of the history of computer aided control system design (CACSD) is followed by a description of the design functions which must be included in the software. Current trends are then discussed, followed by a description of some research activities in the field. Factors influencing R and