1993 American Control Conference 1993
DOI: 10.23919/acc.1993.4792946
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Controlling Non-Minimum Phase Nonlinear Systems - The Inverted Pendulum on a Cart Example

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Cited by 48 publications
(18 citation statements)
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“…The control problem is to design a state feedback controller for the system such that the position of the cart can asymptotically track a sinusoidal input. This problem has been well studied in [20]. The equations of motion for this system can be described by [20] (see also [16]) (M + m)ẍ + ml(θ cos θ −θ 2 sin θ) + bẋ = u, ml 2θ + mlẍ cos θ − mgl sin θ = 0, where M is the mass of the cart, m is the mass of the pendulum, l is the length of the pendulum, g is the gravitational acceleration, b is the coefficient of viscous friction for the motion of the cart, θ is the angle that the pendulum makes with vertical, x is the position of the cart, and u is the applied force.…”
Section: Examplementioning
confidence: 99%
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“…The control problem is to design a state feedback controller for the system such that the position of the cart can asymptotically track a sinusoidal input. This problem has been well studied in [20]. The equations of motion for this system can be described by [20] (see also [16]) (M + m)ẍ + ml(θ cos θ −θ 2 sin θ) + bẋ = u, ml 2θ + mlẍ cos θ − mgl sin θ = 0, where M is the mass of the cart, m is the mass of the pendulum, l is the length of the pendulum, g is the gravitational acceleration, b is the coefficient of viscous friction for the motion of the cart, θ is the angle that the pendulum makes with vertical, x is the position of the cart, and u is the applied force.…”
Section: Examplementioning
confidence: 99%
“…First we choose the matrix T such that the linear part of (18) is diagonalized. Next let [x 1x2ȳz ] T = T −1 [w 1 w 2 x 3 x 4 ] T , then in the new coordinate (18) becomeṡ x 1 = −ωx 2 ,ẏ = − g/lȳ +ḡ(x,ȳ,z), x 2 = ωx 1 ,ż = g/lz +h(x,ȳ,z), (20) 47th IEEE CDC, Cancun, Mexico, Dec. [9][10][11]2008 TuB16.3…”
Section: Examplementioning
confidence: 99%
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“…= n + p (9) for all λ given by ([3], [4], [11] and [14] From the results of the discrete-time servomechanism problem in [11], [14] and [21], it is not difficult to deduce that, under assumption A1, and suppose that the close-loop system (5) (12) (ii) the closed-loop system (5) satisfies R2 if there exists a sufficiently smooth…”
Section: X(t + 1) = F (X(t) U(t) V(t) W) E(t) = H(x(t) U(t) V(tmentioning
confidence: 99%
“…Gurumoorthy and Sanders [4] applied feedback linearization and singular perturbation concept to come up with a high gain feedback design for SISO systems. Feedback linearization is first applied.…”
Section: Introductionmentioning
confidence: 99%