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SSpace: A flexible and general state space toolbox for MATLAB.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Published

Standard

SSpace: A flexible and general state space toolbox for MATLAB. / Taylor, C. James; Pedregal, Diego J.

System Identification, Environmental Modelling and Control System Design. ed. / L. Wang; H. Garnier. London : Springer, 2012. p. 615-636.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

Taylor, CJ & Pedregal, DJ 2012, SSpace: A flexible and general state space toolbox for MATLAB. in L Wang & H Garnier (eds), System Identification, Environmental Modelling and Control System Design. Springer, London, pp. 615-636. https://doi.org/10.1007/978-0-85729-974-1

APA

Taylor, C. J., & Pedregal, D. J. (2012). SSpace: A flexible and general state space toolbox for MATLAB. In L. Wang, & H. Garnier (Eds.), System Identification, Environmental Modelling and Control System Design (pp. 615-636). Springer. https://doi.org/10.1007/978-0-85729-974-1

Vancouver

Taylor CJ, Pedregal DJ. SSpace: A flexible and general state space toolbox for MATLAB. In Wang L, Garnier H, editors, System Identification, Environmental Modelling and Control System Design. London: Springer. 2012. p. 615-636 doi: 10.1007/978-0-85729-974-1

Author

Taylor, C. James ; Pedregal, Diego J. / SSpace: A flexible and general state space toolbox for MATLAB. System Identification, Environmental Modelling and Control System Design. editor / L. Wang ; H. Garnier. London : Springer, 2012. pp. 615-636

Bibtex

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title = "SSpace: A flexible and general state space toolbox for MATLAB.",
abstract = "This chapter illustrates the utility of, and provides the basic documentation for, SSpace, a recently developed MATLAB toolbox for the analysis of State Space systems. The key strength of the toolbox is its generality and flexibility, both in terms of the particular state space form selected and the manner in which generic models are straightforwardly translated into MATLAB code. With the help of a relatively small number of functions, it is possible to fully exploit the power of state space systems, performing operations such as filtering, smoothing, forecasting, interpolation, signal extraction and likelihood estimation. The chapter provides an overview of SSpace and demonstrates its usage with several worked examples.",
author = "Taylor, {C. James} and Pedregal, {Diego J.}",
year = "2012",
doi = "10.1007/978-0-85729-974-1",
language = "English",
isbn = "978-0-85729-973-4",
pages = "615--636",
editor = "L. Wang and H. Garnier",
booktitle = "System Identification, Environmental Modelling and Control System Design",
publisher = "Springer",

}

RIS

TY - CHAP

T1 - SSpace: A flexible and general state space toolbox for MATLAB.

AU - Taylor, C. James

AU - Pedregal, Diego J.

PY - 2012

Y1 - 2012

N2 - This chapter illustrates the utility of, and provides the basic documentation for, SSpace, a recently developed MATLAB toolbox for the analysis of State Space systems. The key strength of the toolbox is its generality and flexibility, both in terms of the particular state space form selected and the manner in which generic models are straightforwardly translated into MATLAB code. With the help of a relatively small number of functions, it is possible to fully exploit the power of state space systems, performing operations such as filtering, smoothing, forecasting, interpolation, signal extraction and likelihood estimation. The chapter provides an overview of SSpace and demonstrates its usage with several worked examples.

AB - This chapter illustrates the utility of, and provides the basic documentation for, SSpace, a recently developed MATLAB toolbox for the analysis of State Space systems. The key strength of the toolbox is its generality and flexibility, both in terms of the particular state space form selected and the manner in which generic models are straightforwardly translated into MATLAB code. With the help of a relatively small number of functions, it is possible to fully exploit the power of state space systems, performing operations such as filtering, smoothing, forecasting, interpolation, signal extraction and likelihood estimation. The chapter provides an overview of SSpace and demonstrates its usage with several worked examples.

U2 - 10.1007/978-0-85729-974-1

DO - 10.1007/978-0-85729-974-1

M3 - Chapter

SN - 978-0-85729-973-4

SP - 615

EP - 636

BT - System Identification, Environmental Modelling and Control System Design

A2 - Wang, L.

A2 - Garnier, H.

PB - Springer

CY - London

ER -