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» Nonlinear hybrid system identification with kernel models
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76
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AUTOMATICA
2010
99views more  AUTOMATICA 2010»
14 years 9 months ago
Two nonlinear optimization methods for black box identification compared
: In this paper, two nonlinear optimization methods for the identification of nonlinear systems are compared. Both methods estimate all the parameters of a polynomial nonlinear sta...
Anne Van Mulders, Johan Schoukens, Marnix Volckaer...
AUTOMATICA
2006
112views more  AUTOMATICA 2006»
14 years 9 months ago
Joint identification of plant rational models and noise distribution functions using binary-valued observations
System identification of plants with binary-valued output observations is of importance in understanding modeling capability and limitations for systems with limited sensor inform...
Le Yi Wang, Gang George Yin, Ji-Feng Zhang
72
Voted
HYBRID
2000
Springer
15 years 1 months ago
Towards Procedures for Systematically Deriving Hybrid Models of Complex Systems
Abstract. In many cases, complex system behaviors are naturally modeled as nonlinear differential equations. However, these equations are often hard to analyze because of "sti...
Pieter J. Mosterman, Gautam Biswas
78
Voted
HYBRID
1998
Springer
15 years 1 months ago
Hybrid cc with Interval Constraints
Abstract. Hybrid cc is a constraint programming language suitable for modeling, controlling and simulating hybrid systems, i.e. systems with continuous and discrete state changes. ...
Björn Carlson, Vineet Gupta
CDC
2009
IEEE
221views Control Systems» more  CDC 2009»
15 years 1 months ago
Parametrization invariant covariance quantification in identification of transfer functions for linear systems
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Tzvetan Ivanov, Michel Gevers