Adaptive control of nonminimum-phase systems using shifted Laurent series

We present a direct discrete-time output-feedback adaptive control algorithm for single-input, single-output systems that are possibly unstable and nonminimum phase. The plant modeling information is given by impulse response components, and the plant is modelled within the algorithm by a truncated...

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Bibliographic Details
Published in:International journal of control 2017-03, Vol.90 (3), p.407-427
Main Authors: Dai, Shicong, Ren, Zhang, Bernstein, Dennis S.
Format: Article
Language:English
Subjects:
Adaptive control
Algorithms
Construction costs
Convergence
Impulse response
Infinity
Laurent series
Markov parameters
nonminimum-phase zero
Numerical controls
Origins
Output feedback
Product design
Production planning
unstable system
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Summary:We present a direct discrete-time output-feedback adaptive control algorithm for single-input, single-output systems that are possibly unstable and nonminimum phase. The plant modeling information is given by impulse response components, and the plant is modelled within the algorithm by a truncated shifted Laurent series. A shifted Laurent series is a Laurent series at a point different from the origin in the complex plane and about infinity. The shifted Laurent series is analysed, including its convergence and its relationship to other Laurent series. In particular, we provide a technique for constructing a truncated shifted Laurent series using impulse response components. Numerical examples show that retrospective cost adaptive control can achieve asymptotic command following for a class of exponentially unstable, nonminimum-phase systems.
ISSN:0020-7179
1366-5820
DOI:10.1080/00207179.2016.1183173