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A Function Space Approach to Sampled-Data Control Systems And Tracking Problems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Yamamoto, Yutaka |
| Copyright Year | 1994 |
| Abstract | This paper presents a new framework for hybrid sampled-data control systems. Instead of considering the state only at sampling instants, this paper introduces a function piece during the sampling period as the state and gives an inhitedimensional model with such a state space. This gives the advantage that sampled-data systems with built-in intersample behavior can be regarded as linear, time-invariant, discrete-time systems. As a result, the approach makes it possible to introduce such timeinvariant concepts as transfer functions, poles, and zeros to the sampled-data systems even with the presence of the intersample behavior. In particular, tracking problems can be studied in this setting in a simple and unified way, and ripples are completely characterized as a mismatch between the intersample reference signal and transmission zero directions. This leads to the internal model principle for sampled-data systems. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://repository.kulib.kyoto-u.ac.jp/dspace/bitstream/2433/50304/1/00286247.pdf |
| Alternate Webpage(s) | http://www-ics.acs.i.kyoto-u.ac.jp/~yy/Papers/TransAC94.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Arabic numeral 0 Canonical account Control system Data system REM Sleep Behavior Disorder Sampling (signal processing) Sampling - Surgical action State space Time-invariant system Transfer function |
| Content Type | Text |
| Resource Type | Article |
