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State space model

Estimating the modal parameters from multiple measurement setups using a joint state space model

Estimating the modal parameters from multiple measurement setups using a joint state space model

... Apart from these modes, present in all the setups, we have indicated in Table 4 other modes that appear in almost all the setups: mode (9) which come up in twelve setups, mode (7) in eleven setups, and modes (8) and (10) ...

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Using the EM algorithm to estimate the state space model
for OMAX

Using the EM algorithm to estimate the state space model for OMAX

... the state space model (15) has been estimated using the EM algorithm (see [5] for ...This model corresponds to output-only modal analysis because the inputs are not used in the estimation ...

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State space models for multi-setup operational modal analysis

State space models for multi-setup operational modal analysis

... The parametric approach to estimate the modal parameters consists on to fit a mathematical model to the vibration data, and then to compute the modal parameters from the model parameters. In EMA, both input ...

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Operational Modal Analysis using Expectation Maximization Algorithm

Operational Modal Analysis using Expectation Maximization Algorithm

... input there might be other inputs that in a more uncontrollable way contribute to the system response. This unmeasurable influence is characterized as disturbance or noise. In system identification, system response ...

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Computational optimization of a MIMO constrained embedded predictive controller implementing a novel software based architecture

Computational optimization of a MIMO constrained embedded predictive controller implementing a novel software based architecture

... Gulbudak and Santi [11], is implementing a model predictive control on a Altera DEO- Nano FPGA running at 50 MHz. The authors propose multi-input multi-output state- space MPC implementation. The ...

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Transformations of the Law and State: A Space for Reflection of Novum Jus

Transformations of the Law and State: A Space for Reflection of Novum Jus

... power the obligation to indicate, by means of the law, the penalties to be applied in the case of a deviant conduct; thus, the purpose was to avoid the arbitrariness of the Executive and Judicial powers, since, under the ...

6

Towards scaling up DynAlloy analysis using predicate abstraction

Towards scaling up DynAlloy analysis using predicate abstraction

... the state explosion problem mentioned, and is due to the analyses being based on a reduction to boolean satisfiability, which is a well known NP ...the state space of a model, to automatically ...

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Novel dynamical model for an object-oriented space tether simulator

Novel dynamical model for an object-oriented space tether simulator

... the model is finished, the tool automatically compiles all the equations of the different components and the connection equations coming from the connected ports, and creates a closed mathematical equation system ...

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Spontaneous recoil effects of optical pumping on trapped atoms

Spontaneous recoil effects of optical pumping on trapped atoms

... ber of reiterated scattering events increasing up to the final pumping event. Consequently, the center-of-mass effect of optical pumping is linked in a natural way to that of reso- nance scattering on the pump-excited ...

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Identification and multivariable control in state space of a permanent magnet synchronous generator

Identification and multivariable control in state space of a permanent magnet synchronous generator

... of state variables with least squares and projection algorithms, where the observer of states is included, allows a better estimation the linear model in state space of a multivariable ...

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Generating Effective Test Suites for Model Transformations Using Classifying Terms

Generating Effective Test Suites for Model Transformations Using Classifying Terms

... In our case, we need to know (or estimate) the proportion of each stratum. One usual method is to use some a priori knowledge about the population to estimate these proportions [4]. There are also several techniques that ...

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Design of a real-time hidden markov model state decoding system

Design of a real-time hidden markov model state decoding system

... Hidden Markov Models (HMMs) are the most widely used approach to speech recognition problems. The task of recognition is the problem of, given an observation sequence and HMM parameters, finding the most probable path or ...

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Ball and Plate System

Ball and Plate System

... a state-space model, and then, we will add a controler and an ...logic model of this ball and plate's ...of state-space model and how to control it, and a small ...

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Optimal control of a ball and beam nonlinear model based on Takagi-Sugeno fuzzy model

Optimal control of a ball and beam nonlinear model based on Takagi-Sugeno fuzzy model

... Optimal control has been a significant method for the controllers design. Linear Quadratic Regulator [5], is an optimal control design method for state space linear models which allows the minimization of a ...

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Driver State Model

Driver State Model

... “Driver State Model” es un proyecto para detectar el estado mental del usuario basado en las ondas cerebrales, utilizando la tecnología de un sensor de EEG (electroencefalograma) para poder obtener la ...

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Consciousness, Action Selection, Meaning and Phenomenic Anticipation

Consciousness, Action Selection, Meaning and Phenomenic Anticipation

... abstract model of consciousness and understanding will be based in the analysis and evaluation of phenomenal states along potential future trajectories in the state space of the ...

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Free Space Decoy-state Quantum Key Distribution Implementation

Free Space Decoy-state Quantum Key Distribution Implementation

... free space implementations of QKD present the most promising option for finally accomplishing communications all around the globe, by establishing links between the Earth and Low Earth Orbiting Satellites (LEOS) ...

6

Associative memories: randomness, continuity and biological plausibility

Associative memories: randomness, continuity and biological plausibility

... plausible model of associative memory is ...Little-Hopfield model is ...Hopfield model [7] into the framework of a diffusive process governed by the Fokker-Plank (F-P) ...This model has the ...

8

Administración del proyecto Driver State Model

Administración del proyecto Driver State Model

... La realización de experimentos con el MUSE se dividió en tres fases diferentes, donde cada una tuvo su razón de ser. Desde poder observar si era posible realizar y detectar los diferentes tipos de ondas cerebrales, el ...

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Quasi-autonomous thermal model reduction for steady-state problems in space systems

Quasi-autonomous thermal model reduction for steady-state problems in space systems

... Spacecraft thermal control addresses the problem of keeping space vehicles and their components temperatures within the appropriate range [1–3]. Tests and analyses are used together for the study and the design of ...

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