| 000 | 02579nam a22003498i 4500 | ||
|---|---|---|---|
| 001 | CR9780511976476 | ||
| 003 | UkCbUP | ||
| 005 | 20200124160316.0 | ||
| 006 | m|||||o||d|||||||| | ||
| 007 | cr|||||||||||| | ||
| 008 | 101012s2011||||enk o ||1 0|eng|d | ||
| 020 | _a9780511976476 (ebook) | ||
| 020 | _z9781107000568 (hardback) | ||
| 020 | _z9781107429383 (paperback) | ||
| 040 |
_aUkCbUP _beng _erda _cUkCbUP |
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| 050 | 0 | 4 |
_aQA402.37 _b.C44 2011 |
| 082 | 0 | 0 |
_a629.8/312 _222 |
| 100 | 1 |
_aChing, ShiNung, _eauthor. |
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| 245 | 1 | 0 |
_aQuasilinear control : _bperformance analysis and design of feedback systems with nonlinear sensors and actuators / _cShiNung Ching [and others]. |
| 264 | 1 |
_aCambridge : _bCambridge University Press, _c2011. |
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| 300 |
_a1 online resource (xvii, 282 pages) : _bdigital, PDF file(s). |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 500 | _aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). | ||
| 505 | 0 | 0 |
_gIntroduction -- _tStochastic linearization of LPNI systems -- _tAnalysis of reference tracking in LPNI system -- _tAnalysis of disturbance rejection in LPNI systems -- _tDesign of reference tracking controllers for LPNI systems -- _tDesign of disturbance rejection controllers for LPNI systems -- _tPerformance recovery in LPNI systems -- _tProofs. |
| 520 | _aThis is a textbook and reference for readers interested in quasilinear control (QLC). QLC is a set of methods for performance analysis and design of linear plant or nonlinear instrumentation (LPNI) systems. The approach of QLC is based on the method of stochastic linearization, which reduces the nonlinearities of actuators and sensors to quasilinear gains. Unlike the usual - Jacobian linearization - stochastic linearization is global. Using this approximation, QLC extends most of the linear control theory techniques to LPNI systems. A bisection algorithm for solving these equations is provided. In addition, QLC includes new problems, specific for the LPNI scenario. Examples include Instrumented LQR/LQG, in which the controller is designed simultaneously with the actuator and sensor, and partial and complete performance recovery, in which the degradation of linear performance is either contained by selecting the right instrumentation or completely eliminated by the controller boosting. | ||
| 650 | 0 | _aStochastic control theory. | |
| 650 | 0 | _aQuasilinearization. | |
| 776 | 0 | 8 |
_iPrint version: _z9781107000568 |
| 856 | 4 | 0 | _uhttps://doi.org/10.1017/CBO9780511976476 |
| 999 |
_c521521 _d521519 |
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