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Substituting a number for NaN in anonymous function
You have .*f(x) in g(x), which is still giving you a NaN

10 years ago | 1

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Solving steady state Kalman riccati equation
Just write out the equations. If it's 2x2 it shouldn't be too hard. Q and R are almost always diagonal. P is symmetric, so thes...

10 years ago | 0

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Extended Kalman Filter converges to wrong values (super simple model)
You have a constant dt used in the filter, but the simulation is variable step. This will cause problems with your predictor. ...

10 years ago | 0

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Quadcopter PID Controller Implementation - Derivative Filter
Apply your derivative gain to the angle rate error and the proportional gain to the angle error. Angle rate error would be (des...

10 years ago | 0

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Can't see variables in workspace when run from a function
I see where you are calling the other functions, but you are ignoring the return variables. Is that the problem? What specific...

10 years ago | 0

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"Hold on" function doesn't work when use set function to dynamically plot data
Try set(hp1, 'XData', [get(hp1, 'Xdata'); k], 'YData', [get(hp1,'Ydata'); c1(k,1)]);

10 years ago | 1

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Filtering of data in simulink
A simple low pass filter (for scalar inputs - easily modified for vectors) is y(i) = (alpha)* y(i-1) + (1-alpha)*x(i); ...

10 years ago | 0

Question

Indexing multiple values of an array of structures with a field that varies in length
I have an array of structures, A. Each structure has a field 'vec'. Each 'vec' is a vector, but the length of the vector can v...

10 years ago | 1 answer | 0

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How to design LQG controller for optimal trajectory
y is obviously of dimension 3. Which element of y do you want to see? Just pick it out with a demux or bus selector.

10 years ago | 0

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Process Noise “Q” covarience matrix in a kalman filter
The measurement error is not used to update any covariance matrices in a Kalman filter.

10 years ago | 0

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Kalman Filter block that allows computing state transition matrix each time?
Why don't you write your own Kalman filter in an Mfile and simulation time as an input. You can determine the elapsed time in th...

10 years ago | 0

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Kalman Filter acceleration Integration
Accelerometers are notoriously noisy and also drift with temperature and age. The error in your estimate of position will grow o...

10 years ago | 0

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Kalman FIlter to obtain pitch angle
You could use accelerometer data to measure pitch. Or you could estimate q and q bias with a Kalman filter, but then you still ...

10 years ago | 0

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Finding out Q and R matrices of a given system.
R and Q are the plant and sensor uncertainty covariance. I can't tell from your code which is which. You can start with an initi...

10 years ago | 0

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How do you apply Kalman filter to a non-linear system
Use Extended Kalman filter. For predict equations, leave it non-linear. Use linearized equations for calculating K and updating ...

10 years ago | 0

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How to remove noise and drift from an acceleration data acquired from an accelerometer?
The predict state could be a_predict = a_last a_bias = a_bias That is, no change predicted. The measurement can b...

10 years ago | 0

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Kalman Filter Varying dT and consequences
The conditions of stability for a Kalman filter is that the system is stochastically observable and controllable. So non-consta...

10 years ago | 0

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Extended Kalman Filter Jacobian
I would suggest you do the coordinate conversions outside of the EKF equations. Can you stay in a local coordinate frame within ...

10 years ago | 0

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Kalman filter's fusion technique
Yes, you are doing it correctly. There is no theoretical restrictions for the number of sensors or for what they are sensing. ...

10 years ago | 1

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need helps about Kalman filter
The Kalman gain is not a function of the states. It is only a function of the covariances and the model of the system and measur...

10 years ago | 0

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kalman filter
So many dependencies. Processor speed, data type (i.e. integer, fp, double?), number of states, number of measurements, does it ...

10 years ago | 0

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Kalman Filter in matlab
You are using +u in the prediction equation but not in the "actual" equation. Could this be your error?

10 years ago | 0

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Using Kalman Filter to smooth data?
The Kalman filter can and is used to smooth data when the covariance values are set to do so. As far as smoothing goes, there is...

10 years ago | 0

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Implementing a Kalman Filter with multiple input sensors
You can keep the same size H matrix, just zero out the rows for which there is no measurement.

10 years ago | 0

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How long have you been using matlab? tell us your story
I was introduced to Matlab by Herm Schutten way back in 1988 while just starting graduate school. I quickly grew to love it. A ...

10 years ago | 1

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I plotted a curve by putting 3 loops in it.I got the plot but while trying to take the out put to the excel sheet am getting only the random values.How to solve this issue
use fprintf or diary

11 years ago | 0

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Time calculation in sending data
can you use tik toc

11 years ago | 0

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Time-varying parameter Kalman filter
If your equations are linear then you can use the regular Kalman filter equations. Just put time (or delta time) where you need ...

11 years ago | 0

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How can i write this equation in matlab ??????
The trick is to update v(i-1,j) and v(i,j-1) without updating v(i+1,j) and v(i,j+1) before going on the v(i,j). After that do: ...

11 years ago | 1

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How can I control the direction of the servo motor in simulink?
Make a model of the car, motor, servo, sensors, whatever. First try running open loop -- without any feedback. Once that is work...

11 years ago | 1