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LQR  Linear-quadratic regulator design for state space systems.

    [K,S,E] = LQR(SYS,Q,R,N) calculates the optimal gain matrix K
    such that:

      * For a continuous-time state-space model SYS, the state-feedback
        law u = -Kx  minimizes the cost function

              J = Integral {x'Qx + u'Ru + 2*x'Nu} dt

        subject to the system dynamics  dx/dt = Ax + Bu

      * For a discrete-time state-space model SYS, u[n] = -Kx[n] minimizes

              J = Sum {x'Qx + u'Ru + 2*x'Nu}

        subject to  x[n+1] = Ax[n] + Bu[n].

    The matrix N is set to zero when omitted.  Also returned are the
    the solution S of the associated algebraic Riccati equation and
    the closed-loop eigenvalues E = EIG(A-B*K).

    [K,S,E] = LQR(A,B,Q,R,N) is an equivalent syntax for continuous-time
    models with dynamics  dx/dt = Ax + Bu
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