Topic
System identification
About: System identification is a research topic. Over the lifetime, 21291 publications have been published within this topic receiving 439142 citations.
Papers published on a yearly basis
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TL;DR: Using the Riccati equation, this paper has designed a procedure to provide a reduced-order stochastic model that is minimal with respect to system order as well as the number of Stochastic inputs, thereby avoiding several problems appearing in standard application of stoChastic realization to the model validation problem.
Abstract: This paper presents theory, algorithms, and validation results for system identification of continuous-time state-space models from finite input-output sequences. The algorithms developed are methods of subspace model identification and stochastic realization adapted to the continuous-time context. The resulting model can be decomposed into an input-output model and a stochastic innovations model. Using the Riccati equation, we have designed a procedure to provide a reduced-order stochastic model that is minimal with respect to system order as well as the number of stochastic inputs, thereby avoiding several problems appearing in standard application of stochastic realization to the model validation problem.
94 citations
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01 Jan 1975
TL;DR: This book discusses Digital Control Linear Difference Equations and the z-Transform Elementary Digital Control System Design Using Transform Techniques and the Algebraic Eigenvalue-Eigenvictor Problem.
Abstract: Introduction to Digital Control Linear Difference Equations and the z-Transform Elementary Digital Control System Design Using Transform Techniques Advanced Digital Control System Design Techniques Employing the z-Transform Digital Filtering and Digital Compensator Design State-Variable Representation in Digital Control Systems Quantization and Error Effects State-Space Approach to Control System Design Linear Discrete-Time Optimal Control Discrete-Time Stochastic Systems State Estimation in the Presence of Noise Discrete-Time Stochastic Control Systems Introduction to System Identification Appendix A: Tables and Properties of z-Transforms Appendix B: Algebraic Eigenvalue-Eigenvictor Problem Appendix C: Proof of the Matrix Inversion Lemma Appendix D: Digital Control Designe
94 citations
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TL;DR: In this article, a functional series vector time-dependent autoregressive moving average (FS-VTARMA) method is introduced and employed for the identification of a "bridge-like" laboratory structure consisting of a beam and a moving mass.
94 citations
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TL;DR: The step response of a closed loop system is identified by means of a Laguerre expansion, which offers certain advantages over ARMA models, namely lack of bias in the estimates, structural flexibility and the ability to precompute the regressors.
94 citations
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TL;DR: In this article, a new subspace identification method using the parity space employed in fault detection in the past has been presented, which gives consistent estimation of the deterministic part and stochastic part of the system under closed loop.
94 citations