Two methods of simulating continuous-data systems by sampled-data models are presented. Sample-andhold devices are inserted in an otherwise continuous-data system, and the input and the feedback gains are modified to make the response of the sampled-data model as close to that of the original system
Frequency-weighted least-squared error for optimal discretization of continuous-data control systems
โ Scribed by Salem A.K. Al-Assadi
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 979 KB
- Volume
- 329
- Category
- Article
- ISSN
- 0016-0032
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โฆ Synopsis
This paper is concerned with developing a computer-aided method for optimum discretization of continuous-data control systems. In this method, we can assume d@rent orders for the digital controllers, and a search for optimum values for their parameters is carried out by minimizing the sum of the magnitude-squared error junction formulated in the frequency domain. Results of all examples considered show that the method is efikient and has advantages when compared to other existing methods in minimizing the magnitude-squared error in both the,frequency and time domains for d$erent sampling rates.
๐ SIMILAR VOLUMES
An optimal linear digital filtering problem for continuous-time dynamic processes is considered. An algorithm for optimal filter design taking into account pure delays in continuous-time networks is presented. The performance of systems, being optimal with respect to discrete-time and continuous-tim