2010
DOI: 10.1109/tac.2010.2049688
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ITAE Optimal Sliding Modes for Third-Order Systems With Input Signal and State Constraints

Abstract: In this note, the design of a time-varying switching plane for the sliding-mode control of the third-order system subject to velocity, acceleration and input signal constraints is considered. Initially, the switching plane passes through the system representative point (RP) in the error state space and then it moves with a constant velocity to the origin of the space. Having reached the origin the plane stops moving and remains fixed. The plane parameters are selected to minimize the integral of the time multi… Show more

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Cited by 78 publications
(18 citation statements)
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“…for any integer k ≥ 0 the inequality h(k) ≤ d max holds. Consequently, taking into account (24) and the theorem assumption (25) we have for k ≥ n p + 1…”
Section: Theorem 3 If Policymentioning
confidence: 99%
See 1 more Smart Citation
“…for any integer k ≥ 0 the inequality h(k) ≤ d max holds. Consequently, taking into account (24) and the theorem assumption (25) we have for k ≥ n p + 1…”
Section: Theorem 3 If Policymentioning
confidence: 99%
“…For this purpose, we propose discrete-time sliding-mode (SM) control, which is well known to be efficient and robust regulation technique [13][14][15][16][17][18][19]. Since a proper choice of the switching plane is the key part of the design of SM controllers [20][21][22][23][24][25], in this work, we determine the plane parameters for a dead-beat scheme. In this way we obtain fast response to the changes in demand and the minimum stock level.…”
Section: Introductionmentioning
confidence: 99%
“…we substitute from (16) and (18) in (14) to obtain the cart position third-order differential equation. , cos…”
Section: Overall System Modelmentioning
confidence: 99%
“…The issue of limiting state variables is an important problem in the sliding mode control due to its frequent occurrence in practice [33][34][35][36][37][38][39][40]. Usually, during the sliding mode controller design, the problem of constraining the state variables is omitted in favor of limiting the control signal.…”
Section: Introductionmentioning
confidence: 99%