Examples of 'state-space' in a sentence
Meaning of "state-space"
state-space (noun) - a mathematical concept used in control theory and physics to describe a system's internal state and its evolution over time
How to use "state-space" in a sentence
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state-space
Exogenous shocks are arranged according to a state-space representation.
In this case the state-space representation can be applied.
This approach is a special case of state-space models.
The state-space model is used in many different areas.
Compared reducing pressures for state-space model.
There are regions of the state-space that should be avoided at all cost.
Another form of a digital filter is that of a state-space model.
This thesis presents a state-space parameterization for the fast wavelet transform.
It allows the conversion of the system into a state-space representation.
The forward state-space search is one of the most popular automated planning approaches.
This often results in the state-space explosion problem.
The second approach considers invariance in the initial state-space.
A language model formulated in the state-space modeling framework is presented.
We will then discuss the problem of estimating unknown parameters in state-space models.
A continuous time-invariant linear state-space model is observable if and only if.
See also
The state-space considered is the distribution of piece-wise constant recombination rate maps.
This results in a coupled problem of state-space inversion and optimization.
Another original state-space model is introduced which does not require the fundamental frequency.
A state variable filter realizes the state-space model directly.
It uses nonlinear state-space models in continuous time, specified using stochastic or ordinary differential equations.
We study the logistic population growth model using a state-space approach.
In this way, we formulate a combined state-space model representation of the communication system.
Elimination of torsional vibrations of variable speed controlled drive system by using state-space control.
LQG design requires a state-space model of the plant to be formulated.
The grid currents are measured for the state-space controller.
The state-space form of GP priors has several advantages over the traditional covariance function view.
They allow estimating the matrices of the state-space representation of a system.
A Markov chain is a process that has a finite or countable state-space.
We obtain the state-space model.
A new algorithm is developed for efficient and reliable inference in nonlinear state-space models.
Optimal state-space controllers.
The convolution product of the impulse response of the ship is computed with state-space systems.
Conversely, state-space uncertainties take into account the approximate.
Middlebrook averaged the circuit configurations for each switch state in a technique called state-space averaging.
Theoretically, the state-space language model has several desirable properties.
Current control of a grid converter equipped with an LCL filter using state-space controller and observer.
For that purpose, a state-space linear model with Gaussian error is suggested.
Alternatively, the model can also exist in the state-space representation.
State-space models, Bayesian assimilation of hydrological data and real-time forecasting.
It is conventional to express the motion of, say, a submarine by equations of state-space form.
Depending on the assumptions taken, the state-space model representation can assume the following forms,.
However, these minimum-variance solutions require estimates of the state-space model parameters.
This smoother is a time-varying state-space generalization of the optimal non-causal Wiener filter.
The second, a dynamic approach, models the source 's movement using a state-space representation.
Besides time-index and state-space parameters, there are many other variations, extensions and generalizations see Variations.
Chapter 2 provides a new filtering and estimation method for linear-quadratic state-space models.
Under a restricted arbitrage proposal, a var gaussian state-space model was presented to obtain the non-obse.
Let be a continuous-time Markov chain on countable, irreducible state-space.
Particle filter, useful for sampling the underlying state-space distribution of nonlinear and non-Gaussian processes.
Represent a system by a transfer function and by a linear or nonlinear state-space model, A4.
