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state space approach

An explicit state-space approach to the one-block super-optimal distance problem

An explicit state-space approach to the one-block super-optimal distance problem

... on state-space methods and addressed the problem both in continuous and discrete-time ...parallel approach using a polynomial framework was developed in references [Kwa86], ...early ...

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One Dimensional State Space Approach to Thermoelastic Interactions with Viscosity

One Dimensional State Space Approach to Thermoelastic Interactions with Viscosity

... Present work is concerned with the solution of a one dimensional problem in generalized thermoviscoelastic medium with fractional order strain. The formulation is applied in the context of Green-Naghdi theory of ...

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Digital Compensation in IQ Modulator Using  Optimization—A State Space Approach

Digital Compensation in IQ Modulator Using Optimization—A State Space Approach

... optimization approach where the pre- compensation finite impulse response (FIR) filters are found by minimizing the least-square error of the error transfer ...using state- space ...

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Forecasting pelagic fish in Malaysia using ETS State Space Approach

Forecasting pelagic fish in Malaysia using ETS State Space Approach

... (ETS) state space ...(ETS) state space exponential method which requires no assumptions about the correlations between successive values of the time ...

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Modelling and control of a balancing robot using digital state space approach

Modelling and control of a balancing robot using digital state space approach

... This thesis is concerned with the problems of modelling a complete mathematical model of a balancing robot and control the system using digital state space approach to pilots the motors [r] ...

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State-space approach to nonlinear predictive generalized minimum variance control

State-space approach to nonlinear predictive generalized minimum variance control

... PGMV Optimal Controller Consider the linear components of the plant, disturbance and output weighting models in state space form 2, 3 with input from the nonlinear finite gain stable pla[r] ...

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Handling arch effects in wind speed data using state space approach model

Handling arch effects in wind speed data using state space approach model

... series approach, secondly is in term of treating the excessive ARCH effect in the ARMA-GARCH model and thirdly is to select the best model that capable to do short-term ...

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Optimization methods for deadbeat control design: a state space approach

Optimization methods for deadbeat control design: a state space approach

... of state deadbeat control problem, which is that of finding an input sequence steering the states of a linear discrete time system from any arbitrary initial condition to the origin of the complex plane in finite ...

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Missing in Asynchronicity: A Kalman-EM Approach for Multivariate Realized Covariance Estimation

Missing in Asynchronicity: A Kalman-EM Approach for Multivariate Realized Covariance Estimation

... new approach to the estimation of the covariance matrix based on the idea of viewing the asynchronicity problem as a missing values problem on a set of otherwise synchronous ultra-high-frequency series; ...a ...

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Design of Classical and State Space Controller Using a Moving Coil Machine

Design of Classical and State Space Controller Using a Moving Coil Machine

... The state space approach is a more modern approach to controller design. It is a unified method for modelling, analysing, and designing a wide range of systems. In the recent past there have ...

6

Multiplicative State Space Models for Intermittent Time Series

Multiplicative State Space Models for Intermittent Time Series

... the approach of intermittent state-space modelling allows using (for both demand sizes and demand occurrence parts of the model) ETS, ARIMA, regression models or diffusion models, which could be ...

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Robustness of infinite dimensional systems

Robustness of infinite dimensional systems

... The question of a state space approach to the robustness of systems is becoming more important established linear.. as both an alternative.[r] ...

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Stability of singular jump-linear systems with a large state space : a two-time-scale approach

Stability of singular jump-linear systems with a large state space : a two-time-scale approach

... This work has been devoted to singular jump-linear systems whose switching processes have large state spaces. Thus, alternatively, such systems could be called singular systems with singularly perturbed Markov ...

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PLANT GROWTH MODELING OF ZINNIA ELEGANS JACQ USING FUZZY MAMDANI AND L SYSTEM 
APPROACH WITH MATHEMATICA

PLANT GROWTH MODELING OF ZINNIA ELEGANS JACQ USING FUZZY MAMDANI AND L SYSTEM APPROACH WITH MATHEMATICA

... The figure depicts several different dynamic temporal regulatory modules. As shown in table 1, the inverted ‘T’ symbol indicates inhibition, arrows represent activation, but the indirect function does not be shown. The ...

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Model Reduction of 2 D IIR Filters

Model Reduction of 2 D IIR Filters

... first approach is typi- cally much simpler and more useful than the second: using an elliptic analog filter’s system function and a bilinear ...this approach is not useful in the 2-D case. In the 1-D case, ...

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A state space modelling approach to population size estimation

A state space modelling approach to population size estimation

... novel state-space modelling formulation that combines the two independent observation processes, live recaptures and distant re- sightings (RES), with a latent system process describing the demographic ...

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Forecasting Australian Macroeconomic variables, evaluating innovations state space approaches

Forecasting Australian Macroeconomic variables, evaluating innovations state space approaches

... Na¨ıve approach are considered in this section, they are the univariate innovation state space alternative (option 2) denoted as ETS 2 , the VISTS models, and two selected models, the vector damped ...

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Assessing the impacts of hydrologic and land use alterations on water temperature in the Farmington River basin in Connecticut

Assessing the impacts of hydrologic and land use alterations on water temperature in the Farmington River basin in Connecticut

... The water temperature model, RBM, as developed here, has limitations for accurately simulating stream temperatures as streamflows become low. The contribution of bed con- duction, nonpoint source inputs and hyporheic ...

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Initial Values in Estimation Procedures for State Space Models (SSMs)

Initial Values in Estimation Procedures for State Space Models (SSMs)

... (QL) approach for estimation of state space models without full knowledge on the probability structure of relevant state-space ...

7

Topics in Information Structures

Topics in Information Structures

... Most economic analysis assumes a great deal of logical sophistication on the part of the agents in the model. Information structures are typically assumed to be represented by a partition of the state ...

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