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2003, 1, Control Series, ISBN 9780849312915, Volume 4, 318
Model Predictive Control (MPC) has become a widely used methodology across all engineering disciplines, yet there are few books which study this approach.... 
Systems & Control Engineering | Industrial Chemistry | Systems & Controls | Predictive control | Control theory
Book
Journal of Sound and Vibration, ISSN 0022-460X, 02/2019, Volume 441, pp. 240 - 240
Journal Article
PLoS computational biology, ISSN 1553-7358, 10/2018, Volume 14, Issue 10, p. e1006539
[This corrects the article DOI: 10.1371/journal.pcbi.1005376.]. 
System identification
Journal Article
2015, ISBN 1439895996, xxxiii, 858 pages, 16 unnumbered pages of plates
Book
2010, 1, ISBN 0470542772, xv, 231
A comprehensive introduction to fuzzy control and identification, covering both Mamdani and Takagi-Sugeno fuzzy systemsA fuzzy control system is a control... 
Computing and Processing | Automatic control--Mathematics | TECHNOLOGY & ENGINEERING / Electronics / General | Fuzzy automata | System identification | Fuzzy Systems | Computer Engineering | Automatic control | Mathematics
Book
2008, 1. Aufl., ISBN 9783540769170, xii, 180
This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain... 
Data mining | Applications of Computing | Economics/Management Science | Business Information Systems | Operations Research/Decision Theory | Data Mining and Knowledge Discovery
Book
2007, ISBN 0521875129, Volume 9780521875127, xv, 405
Filtering and system identification are powerful techniques for building models of complex systems. This 2007 book discusses the design of reliable numerical... 
Filters (Mathematics) | System identification
Book
Automatica, ISSN 0005-1098, 12/2015, Volume 62, pp. 39 - 50
In this paper we consider the identification of a linear module that is embedded in a dynamic network using noisy measurements of the internal variables of the... 
Instrumental variables | Dynamic networks | System identification | Closed-loop system identification | Errors-in-variables | MODELS | FEEDBACK | AUTOMATION & CONTROL SYSTEMS | SYSTEM-IDENTIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | Analysis | Sensors | Engineering Sciences | Automatic
Journal Article
Automatica, ISSN 0005-1098, 04/2013, Volume 49, Issue 4, pp. 926 - 935
This paper deals with continuous-time system identification using fractional differentiation models. An adapted version of the simplified refined instrumental... 
Instrumental variable | System identification | Model order optimization | Continuous-time models | Fractional calculus | ALGORITHM | STATE | AUTOMATION & CONTROL SYSTEMS | SYSTEM-IDENTIFICATION | ENGINEERING, ELECTRICAL & ELECTRONIC | Monte Carlo method | Models | Algorithms | Analysis | Engineering Sciences | Automatic
Journal Article
IEEE Transactions on Control Systems Technology, ISSN 1063-6536, 05/2017, Volume 25, Issue 3, pp. 1152 - 1152
Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers. 
Manuscripts | System identification
Journal Article
IEEE Transactions on Control Systems Technology, ISSN 1063-6536, 12/2018, Volume 28, Issue 2, pp. 1 - 12
Robustness against model uncertainty is essential in model-based controller design. It is well known that a relatively small uncertainty in lightly damped... 
robust control | Mechatronics | motion control | system identification
Journal Article
Mechanical Systems and Signal Processing, ISSN 0888-3270, 2011, Volume 25, Issue 3, pp. 735 - 802
Journal Article
IEEE Transactions on Automatic Control, ISSN 0018-9286, 07/2017, Volume 62, Issue 7, pp. 3430 - 3435
Journal Article