Particle Filter block of SImulink is not accepting my 6*1 measurement matrix
I am working on a system whose state sapce model is defined as follows:
x = A*x + B*u;
y = C*x;
where, x is state variable with dimension (15*1), y is the output variable with dimension (6*1) and u is the input variable with dimension (3*1). The dimensions of matrices A, B and C are (15*15), (15*3) and (6*15), respectively. I want to implement the Particle Filter block of MATLAB simulink for state estimation of this system. The simulink model of the Particle Filter is given below:
Fig 1
The Particle Filter configuration parameters are given below in Fig 2.
Fig 2.
When I run the simulation, it shows the following error:
Please help me debug the above problem.I am working on a system whose state sapce model is defined as follows:
x = A*x + B*u;
y = C*x;
where, x is state variable with dimension (15*1), y is the output variable with dimension (6*1) and u is the input variable with dimension (3*1). The dimensions of matrices A, B and C are (15*15), (15*3) and (6*15), respectively. I want to implement the Particle Filter block of MATLAB simulink for state estimation of this system. The simulink model of the Particle Filter is given below:
Fig 1
The Particle Filter configuration parameters are given below in Fig 2.
Fig 2.
When I run the simulation, it shows the following error:
Please help me debug the above problem. I am working on a system whose state sapce model is defined as follows:
x = A*x + B*u;
y = C*x;
where, x is state variable with dimension (15*1), y is the output variable with dimension (6*1) and u is the input variable with dimension (3*1). The dimensions of matrices A, B and C are (15*15), (15*3) and (6*15), respectively. I want to implement the Particle Filter block of MATLAB simulink for state estimation of this system. The simulink model of the Particle Filter is given below:
Fig 1
The Particle Filter configuration parameters are given below in Fig 2.
Fig 2.
When I run the simulation, it shows the following error:
Please help me debug the above problem. particle filter MATLAB Answers — New Questions