Is it possible to design a kalman filter for state estimation based on a discretized model  and implement control that is based on continuous model?
		
		    Suppose, I have a continuous state space model of a system: x_dot(t) = A x(t) + B u(t) + e_1, y(t)=Cx(t)+e_2 .................(1), e_i, i=1,2: random Gaussian noise Now, discrete version of...		
		
		    
			11 December 2018
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