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The phrase "idempotent matrix" is an algebraic term. It is defined as a matrix that equals itself when multiplied by itself.

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A singular matrix is a matrix that is not invertible. If a matrix is not invertible, then:• The determinant of the matrix is 0.• Any matrix multiplied by that matrix doesn't give the identity matrix.There are a lot of examples in which a singular matrix is an idempotent matrix. For instance:M =[1 1][0 0]Take the product of two M's to get the same M, the given!M x M = MSo yes, SOME singular matrices are idempotent matrices! How? Let's take a 2 by 2 identity matrix for instance.I =[1 0][0 1]I x I = I obviously.Then, that nonsingular matrix is also idempotent!Hope this helps!


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In MATLAB, you can use the built-in lqr function to compute the Linear Quadratic Regulator (LQR) gain matrix. The basic syntax is K = lqr(A, B, Q, R), where A is the state matrix, B is the input matrix, Q is the state weighting matrix, and R is the input weighting matrix. Ensure you define these matrices appropriately based on your system dynamics before calling the function. For example: A = [...]; % Define your A matrix B = [...]; % Define your B matrix Q = eye(size(A)); % State weighting R = 1; % Input weighting K = lqr(A, B, Q, R);


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