Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation

Research paper by Ping Ma, Feng Ding, Quanmin Zhu

Indexed on: 29 May '18Published on: 12 Feb '18Published in: International journal of systems science

Abstract

Authors: Ping Ma, Feng Ding, Quanmin Zhu Article URL: https://www.tandfonline.com/doi/full/10.1080/00207721.2018.1433247?ai=z4&mi=3fqos0&af=R Citation: International Journal of Systems Science Publication Date: 2018-02-12T12:50:00Z Journal: International Journal of Systems Science

Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation

Abstract

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Decomposition-based recursive least squares identification methods for multivariate pseudo-linear systems using the multi-innovation

Abstract

More like this:

Distributed LQR control for discrete-time homogeneous systems

Robust tracking control for a class of flexible-joint time-delay robots using only position measurements

Stability analysis of group decision-making under weighted scoring rules

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