Parameter estimation in complex nonlinear dynamical systems

Báo cáo y học: "Parameter estimation in biochemical systems models with alternating regression" docx

... easily adapts the AR algorithm by choosing different start values, slightly modifying constraints, or choosing different regressors in addition to the three types used above The probability of finding ... constraining of kinetic orders, while not essential, typically improves the speed of the search It is imaginable that a kinetic order is constrained too tightly In this case, the solution is likely ... computed with initial values in Eq (12) (use dataset in Table S1); (b) corresponding dynamics of slopes Typical units might be concentrations (e.g., in mM) plotted against time (e.g., in minutes),...

Tài liệu Kalman Filtering and Neural Networks - Chapter 6: LEARNING NONLINEAR DYNAMICAL SYSTEMS USING THE EXPECTATION– MAXIMIZATION ALGORITHM doc

... the observations=inputs and the parameter values The M-step involves system identiﬁcation using the state estimates from the smoother Therefore, at the heart of the EM learning procedure is the ... to the height at the corners 194 LEARNING NONLINEAR DYNAMICAL SYSTEMS USING EM Figure 6.5 Summary of the main steps of the NLDS-EM algorithm the goal of the MFA initialization is to capture the ... Since then, there has been similar work applying EM to nonlinear dynamical systems [37, 38] Whereas other work uses sampling for the E-step and gradient M-steps, our algorithm uses the RBF networks...

Báo cáo hóa học: " Research Article Linear Motion Blur Parameter Estimation in Noisy Images Using Fuzzy Sets and Power Spectrum" pptx

... Moghaddam and M Jamzad, Blur identification in noisy images using radon transform and power spectrum modeling,” in Proceedings of the 12th IEEE International Workshop on Systems, Signals and Image ... dB in average The rest of the paper is organized as follows In Section 2, the motion blur parameters are introduced Section describes finding parameters in noise free images The problem in noisy ... respectively In this case, the motion blur parameters are determined as described in the following subsections 3.1 Motion direction estimation To find motion direction, we used the parallel dark lines...

VECTOR DISSIPATIVITY THEORY FOR DISCRETE-TIME LARGE-SCALE NONLINEAR DYNAMICAL SYSTEMS WASSIM M. ppt

... stability result for discrete-time large-scale nonlinear dynamical systems using vector Lyapunov functions In particular, we consider discrete-time nonlinear dynamical systems of the form x(k + 1) ... constraints, for characterizing vector dissipativeness via vector storage functions for large-scale discrete-time dynamical systems Finally, using the concepts of vector dissipativity and vector storage ... large-scale nonlinear dynamical systems In this section, we extend the notion of dissipative dynamical systems to develop the generalized notion of vector dissipativity for discrete-time large-scale nonlinear...

Báo cáo sinh học: " Power and parameter estimation of complex segregation analysis under a finite locus model" pot

... distribution and linkage between a major gene and polygenes, on the power of detecting a major gene and on parameter estimation Behavior of the mixed model of segregation analysis (Morton and MacLean, ... 0.5) Parameter estimation Mean estimates of parameters, with their empirical standard deviations based on 50 replicates, and true values are given in tables III and IV The expected variance components ... used as starting values for the maximization process Likelihood ratio test statistic was calculated by comparing a general model to a model with equal means (fJ fJAa /= AA = t aa)Because SALP and...

báo cáo khoa học: " Translating clinical training into practice in complex mental health systems: Toward opening the ''''Black Box'''' of implementation" docx

... training effort with the lessons of the group therapy training in mind We concluded that part of our role as deliverers of training was to supply the facilitation needed to translate the training ... Trainees submitted their site goals in the form of an action plan prior to the training The nine participating mental health directors agreed to commit resources to support the training of clinicians ... goals, each site invested in the training and took ownership of their goals for training outcomes Motivated trainees invested considerable time preparing for the training Administrators dedicated...

22 global optimization for parameter estimation of dynamic systems lin chinese 2005

... using parametric ODE solver • Multiple local solutions – a need for global optimization Deterministic Global Optimization with Dynamic Systems • Much recent interest, e.g – Esposito and Floudas (2000) ... Acknowledgments • A deterministic global optimization approach based on interval analysis can be used to estimate the parameters of dynamic systems • A validated solver for parametric ODEs is used ... Construct Taylor models of the states using a new validated solver for parametric ODEs (VSPODE) (Lin and Stadtherr, 2005) – Compute the Taylor model Tφ of the objective function – Perform constraint...

Global optimization for parameter estimation of dynamic systems lin chinese 2005

... analysis can be used to estimate the parameters of dynamic systems • A validated solver for parametric ODEs is used to construct bounds on the states of dynamic systems • An efﬁcient constraint propagation ... using parametric ODE solver • Multiple local solutions – a need for global optimization Deterministic Global Optimization with Dynamic Systems • Much recent interest, e.g – Esposito and Floudas (2000) ... Construct Taylor models of the states using a new validated solver for parametric ODEs (VSPODE) (Lin and Stadtherr, 2005) – Compute the Taylor model Tφ of the objective function – Perform constraint...

Báo cáo khoa học: Systems biology: parameter estimation for biochemical models ppt

... optimization of biochemical pathways: applications to metabolic engineering and parameter estimation Bioinformatics 14, 869883 11 Moles CG, Mendes P & Banga JR (2003) Parameter estimation in biochemical ... (Kriging) Parameter estimation in systems biology Discussion The aim of this minireview was to give a comprehensive survey of parameter estimation (i.e to discuss both the methods to t the parameters ... (2006) A hybrid approach for efcient and robust parameter estimation in biochemical pathways BioSystems 83, 248265 Schittkowski K (2002) Numerical Data Fitting in Dynamical Systems A Practical Introduction...

measuring risk in complex stochastic systems - j. franke, w. hardle, g. stahl

... during a conference on Measuring Risk in Complex Stochastic Systems that took place in Berlin on September 25th - 30th 1999 The conference was organised within the Seminar Berlin-Paris, Seminaire ... Even the introduction of Value-at -Risk in order to measure risk more accurately than in terms of standard deviation, did not chance the calculation of a risk contribution of single asset in the ... Conclusion mean-reverting component dies oﬀ) After a period of stability the variance ratio begin to increase linearly showing a behaviour roughly in line with the asymptotics of a CoxIngersoll-Ross model...

gorban a.n. singularities of transition processes in dynamical systems.. qualitative theory of critical delays (ejde monograph 05, 2004)(55s)

... relaxations in systems without parameter EJDE-2004/MON 05 SINGULARITIES OF TRANSITION PROCESSES Let us recall the deﬁnition of non-wandering points A point x∗ ∈ X is the non-wandering point for ... distinct initial points are shifted in time t into distinct points for For a given parameter value k ∈ K and an initial state x ∈ X, the ω-limit set ω(x, k) is the set of all limit points of f ... and also an elementary introduction into the theory can be found in the monograph [78] EJDE-2004/MON 05 SINGULARITIES OF TRANSITION PROCESSES Two simplest mechanisms of slow relaxations can...

pilgrim. combinations of complex dynamical systems

... Proof of Uniqueness of Decomposition Theorem 79 Counting classes of annulus maps 7.1 Statement of Number of Classes of Annulus Maps Theorem 7.2 Proof of ... G-equivariant injection of the set of extra-clean dynamical Belyi polynomials into the set of nondynamical isomorphism classes of Belyi polynomials given by f → f ◦2 From the point of view of dynamics, ... procedures, e.g mating Here is a summary of the remainder of this Introduction §1.5 is a survey of known results regarding the combinatorics of complex dynamical systems I have tried to give as complete...

Báo cáo hóa học: " Preamble and pilot symbol design for channel estimation in OFDM systems with null subcarriers" pdf

... band are set to be null, i.e., no information is sent [12] The presence of null subcarriers complicates the design of both the training preamble for channel estimation and pilot symbols for pilot- aided ... a candidate for pilot symbols design in OFDM systems with null subcarriers VII Conclusion We have addressed the design of optimal preamble as well as suboptimal pilot symbols for channel estimation ... norm-based design for the preamble as well as for the pilot symbol design Next, we consider pilot symbol design for IEEE 802.16e by minimizing the LS channel estimate MSE Figure shows the designed pilot...

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