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Questions tagged [state-space]

State-space models are models that use state variables to describe a system by a set of first-order differential or difference equations, rather than by one or more nth-order differential or difference equations. State variables x(t) can be reconstructed from the measured input-output data, but are not themselves measured during an experiment.

186 questions
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prolog depth first iterative deepening

I am trying to implement a depth first iterative deepening search of a state space graph. I have a graph with three vertices and their are two activating edges and two inhibition edges. Each node has a binary value, collectively this is the state of…
user27815
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Solving 8-Puzzle using DFS

I am looking for code in java that implement DFS and BFS for the 8-puzzle game by given initial state : 1 2 3 8 0 4 7 6 5 and Goal state 2 8 1 0 4 3 7 6 5 I need to print the solution path from initial to goal state (Not done yet) This is the code…
RK2015
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What are the problems associated to Best First Search in Artificial intelligence?

I Know general issues include local maxima and plateaus however I am curious if there is any more issues associated to this specific search and what my best course of action would be in order to overcome these issues. Can someone also give me an…
DrKhan
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Python: Identifying a State Space Model for a System

I am looking to obtain a state space model for a system I have, using python. I have tested the actual system, so I have the inputs to it and I have measured the outputs. so I have sets of corresponding inputs and outputs. Is there a function…
Ahmed J
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Are heuristic functions that produce negative values inadmissible?

As far as I understand, admissibility for a heuristic is staying within bounds of the 'actual cost to distance' for a given, evaluated node. I've had to design some heuristics for an A* solution search on state-spaces and have received a lot of…
rjs
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Moving between states (A Prolog implementation)

I am trying to implement a prolog progarm that implement depth first search and breadth first search the solves the following problem Rowena has three unmarked glasses of different sizes: 3 ounces, 5 ounces, and 8 ounces. The largest glass…
Pro
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MATLAB symbolic state space matrix is too large

I am trying to generate a transfer function from the state space matrices that I have. The problem is that the matrices have variables and not numeric values so I have to use symbolic variables in Matlab. So I started with: A = [ -a0, 0, 0, …
CMacDady
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Using the state intercept in statsmodels MLEModel class for known exogenous inputs

The state intercept c_t in the statsmodels statespace formulation appears to be a way to interject exogenous control variables into the statespace framework. However, I can't get it to work. The simplest possible example I could think of was a mean…
Ben Ogorek
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STLF function in the FORECAST package

I am trying to forecast a yearly time series on a weekly bases (52 weeks a year and I have 164 weeks data). As the frequency is larger than 24, R advices me to use "stlf" rather than "ets" to avoid seasonality being ignored. The "stlf" function…
MichelleX
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Trying to calculate the state space of a board with 5 numbers on

I have a 5x5 board with 1..5 numbers in the top row of the board. Every number can ultimately end up in any position so long as it is not on top of another number. Every number can move one up,down,left or right in a single move, however I don't…
DanMc
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How to use PyMC (v4.0.1) with statsmodels to estimate state space models?

I am trying to use PyMC (v4.0.1) with statsmodels to estimate state-space models. I am following this example that uses PyMC3: https://www.statsmodels.org/v0.12.0/examples/notebooks/generated/statespace_sarimax_pymc3.html The example makes use of…
letsgoexploring
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GEKKO: Statespace Model MPC: Output Data Loop: At the beginning of each calculation step U1 should be the previously calculated value Y

Can you give me a code example with which I can implement the feedback presented in the illustration? I would like to connect per time step the calculation result of the output value with my input parameter.
Jan Küpper
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How to recover fitted values from BSTS poisson model (in R)?

I am trying to recover in-sample predictions (fitted values) from a bsts model with a specified poisson response using the bsts package in R. The following results in an error: Prediction errors are not supported for Poisson or logit…
cmcrowley
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Including parameters in state space model from statsmodels

Building up the model from a previous post, and the helpful answer, I've subclassed the MLEModel to encapsulate the model. I'd like to allow for two parameters q1 and q2 so that the state noise covariance matrix is generalized as in Sarkka (2013)'s…
sluque
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Converting somewhat difficult state space model into R (MARSS / DLM)

I'm currently trying to get the same estimation results as the paper "Seasonal Changes in Central England Temperatures - Proietti & Hillebrand (2015)" In this model they define the following state space model which I've rewritten using the…
Remco Meijer
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