Memorised quasi-time-fuel-optimal feedback control of perturbed double integrator

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Abstract

Quasi-time-fuel-optimal feedback control of the perturbed double integrator ẍ = f(ẋ,x,t) + g(ẋ,x,t)u is studied. A feedback control strategy is presented to overcome overshoot by introducing two compensation factors into time-fuel-optimal switching curves of the ideal double integrator. Robust convergence of the closed-loop system is proved. The control strategy presented has memory of past on-off commutation which eliminates chattering of the system and makes the system converge to the origin in a boundary layer, rather than slide to the origin along the switching curves. A simulation example is given to illustrate feasibility of the control strategy. © 2002 Elsevier Science Ltd. All rights reserved.

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Jing, W. X., & McInnes, C. R. (2002). Memorised quasi-time-fuel-optimal feedback control of perturbed double integrator. Automatica, 38(8), 1389–1396. https://doi.org/10.1016/S0005-1098(02)00037-7

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