This note considers the problem of robustness of discrete two-time-scale systems. Robustness is "rst analyzed for a nominal system as the general -bound problem which characterizes an upper bound of the singular perturbation parameter. The stability robustness is then extended to handle the problem
Computer-aided determination of stability robustness measure of linear discrete-time systems
β Scribed by Mansour Eslami
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 424 KB
- Volume
- 26
- Category
- Article
- ISSN
- 0005-1098
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β¦ Synopsis
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 then used iteratively in a computer-aided algorithm to reach to the largest numerical such upper bounds. The largest numerical upper bound is called the stability robustness measure of the discrete-time dynamic system.
π SIMILAR VOLUMES
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.
## We develop an adaptive control technique for the regulation of a class of linear, discrete-time, time-varying system. The only a priori knowledge required is a bound of the varying component of the parameters. The result is concerned with global behaviour.