Add to ORKGA novel modelling structure for identifying spatio-temporal systems is proposed based on multi-resolution wavelet decompositions. Two classes of spatio-temporal systems, coupled map lattices and cellular automata, are considered and the new modelling approach is applied to identify these systems. Several examples are provided to demonstrate the applicability and effectiveness of the new identification procedure
A new approach for estimating linear and nonlinear continuous-time models directly from noisy observ...
Spatio-temporal images are a class of complex dynamical systems that evolve over both space and time...
This paper develops a new approach for identifying nonlinear representations of chaotic systems dire...
In this paper the identification and analysis of spatio-temporal dynamical systems is presented. An ...
This paper introduces a new approach for the identification of coupled map lattice models of comple...
In this paper, a new algorithm for the multiscale identification of spatio-temporal dynamical syste...
Identification of linear and nonlinear time-varying systems is investigated and a new wavelet model ...
This paper introduces a new approach for the local reconstruction of coupled map lattice (CML) model...
A new modelling framework for identifying and reconstructing chaotic systems is developed based on m...
In this paper, the identification of a class of multiscale spatio-temporal dynamical sys-tems, which...
Spatio-temporal images are a class of complex dynamical systems that evolve over both space and time...
A novel approach to the determination of the neighbourhood and the identification of spatio-temporal...
A comparison between polynomial and wavelet expansions for the identification of coupled map lattice...
SIGLEAvailable from British Library Document Supply Centre-DSC:7769.08577(no 801) / BLDSC - British ...
A multivariable polynomial model is introduced to describe n-state spatio-temporal systems. Based on...
A new approach for estimating linear and nonlinear continuous-time models directly from noisy observ...
Spatio-temporal images are a class of complex dynamical systems that evolve over both space and time...
This paper develops a new approach for identifying nonlinear representations of chaotic systems dire...
In this paper the identification and analysis of spatio-temporal dynamical systems is presented. An ...
This paper introduces a new approach for the identification of coupled map lattice models of comple...
In this paper, a new algorithm for the multiscale identification of spatio-temporal dynamical syste...
Identification of linear and nonlinear time-varying systems is investigated and a new wavelet model ...
This paper introduces a new approach for the local reconstruction of coupled map lattice (CML) model...
A new modelling framework for identifying and reconstructing chaotic systems is developed based on m...
In this paper, the identification of a class of multiscale spatio-temporal dynamical sys-tems, which...
Spatio-temporal images are a class of complex dynamical systems that evolve over both space and time...
A novel approach to the determination of the neighbourhood and the identification of spatio-temporal...
A comparison between polynomial and wavelet expansions for the identification of coupled map lattice...
SIGLEAvailable from British Library Document Supply Centre-DSC:7769.08577(no 801) / BLDSC - British ...
A multivariable polynomial model is introduced to describe n-state spatio-temporal systems. Based on...
A new approach for estimating linear and nonlinear continuous-time models directly from noisy observ...
Spatio-temporal images are a class of complex dynamical systems that evolve over both space and time...
This paper develops a new approach for identifying nonlinear representations of chaotic systems dire...