2015
DOI: 10.1016/j.ifacol.2015.09.309
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Covering Method for Point-to-Point Control of Constrained Flat Systems

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Cited by 18 publications
(5 citation statements)
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“…The plant for trajectory planning is an unmanned wheeled platform with two driving wheels. Consider a dynamical system that describes the motion of the center of mass of this vehicle in a stationary Cartesian coordinate system Oxy [4,26]:…”
Section: Equivalent Transformation Of the Equations Of Motion Of A Wh...mentioning
confidence: 99%
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“…The plant for trajectory planning is an unmanned wheeled platform with two driving wheels. Consider a dynamical system that describes the motion of the center of mass of this vehicle in a stationary Cartesian coordinate system Oxy [4,26]:…”
Section: Equivalent Transformation Of the Equations Of Motion Of A Wh...mentioning
confidence: 99%
“…To generate motion trajectories with specified velocity and acceleration constraints, it is more appropriate to represent the model of the control plant in canonical form concerning the output variables and their derivatives up to and including second order. In [26], it is shown that the system (1) is differentially flat concerning flat output y 11 = x, y 12 = y. By extending the state space (namely by introducing an auxiliary dynamic variable ξ(t)), System (1) can be represented in the canonical Brunowski form with two inputs and two outputs:…”
Section: Equivalent Transformation Of the Equations Of Motion Of A Wh...mentioning
confidence: 99%
“…Theorem 1. Let the vector function F 0 be such function that the system in (2) is flat and u 0 (t) is the open-loop control in problem (2) obtained by means of algorithm [9,10], the regularization parameter α = O(ε k ), where k ≥ 2, F 1 is twice differentiable of all variables, the coordinates u 1,i are found exactly. Then, there is such a perturbation parameter ε 0 > 0 thatfor all 0 < ε ≤ ε 0 1.…”
Section: The Control Correctionmentioning
confidence: 99%
“…Following the algorithm of the covering method [9,10], we introduce the additional state variable ξ = u 1 = ẏ1 .…”
Section: Numerical Experimentsmentioning
confidence: 99%
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