Settling Time Decomposition and Gain Selection for Fixed-Time Underactuated Euler–Lagrange Systems

A fixed-time stabiliser for underactuated Euler–Lagrange systems was established in Part 1 of this study. This paper examines what its fixed-time certificate costs and what is achieved by tightening it. We decompose the full-state settling time into a reaching phase governed by the certificate and an internal transient governed by the plant, and we show that the two obey different constraints: the settling bound depends on the reaching gains alone and tightens in exact inverse proportion to their scale, whereas the unactuated coordinate obeys a rate limit set by the coupling authority. We prove that this rate limit floors the full-state settling time at every gain level, so that the ratio of settling time to certificate grows without bound as the gains do, and we give a gain-free estimate of the internal transient that lies within 13–18% of the measured settling time and accounts for the whole gain effect as a tracking lag. On the TORA benchmark, a 13.3-fold gain range tightens the bound 13.3-fold, while full-state settling improves by 6.0% and control energy rises by 53%. Fourteen controls, including actuator saturation, a second benchmark, parametric mismatch, bounded disturbances, a search over all gains, a sampled-data implementation, a gain range extended to κ=64, and a linear-quadratic anchor, establish that the floor is structural and that the designs that buy a tight certificate are also the ones that chatter and amplify noise. A matched-performance protocol places the fixed-time law and three linear counterparts at energy parity. The result is a gain selection rule with a closed-form saturation-aware form: choose the reaching gains against the guarantee that must be certified and treat the response speed as a question about coupling authority rather than feedback gain.

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Journal
Mathematical and Computational Applications
Published
2026-10-13
DOI
https://doi.org/10.3390/mca31050225
Primary Topic
Adaptive Control of Nonlinear Systems
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article
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article

Settling Time Decomposition and Gain Selection for Fixed-Time Underactuated Euler–Lagrange Systems

Tshepo Kitso Gobonamang, Mavuna Sebapalo, Marumo Okaile, Kabo Nkabiti
Mathematical and Computational Applications
Adaptive Control of Nonlinear Systems
article

Settling Time Decomposition and Gain Selection for Fixed-Time Underactuated Euler–Lagrange Systems

Tshepo Kitso Gobonamang, Mavuna Sebapalo, Marumo Okaile, Kabo Nkabiti
article en

Abstract

A fixed-time stabiliser for underactuated Euler–Lagrange systems was established in Part 1 of this study. This paper examines what its fixed-time certificate costs and what is achieved by tightening it. We decompose the full-state settling time into a reaching phase governed by the certificate and an internal transient governed by the plant, and we show that the two obey different constraints: the settling bound depends on the reaching gains alone and tightens in exact inverse proportion to their scale, whereas the unactuated coordinate obeys a rate limit set by the coupling authority. We prove that this rate limit floors the full-state settling time at every gain level, so that the ratio of settling time to certificate grows without bound as the gains do, and we give a gain-free estimate of the internal transient that lies within 13–18% of the measured settling time and accounts for the whole gain effect as a tracking lag. On the TORA benchmark, a 13.3-fold gain range tightens the bound 13.3-fold, while full-state settling improves by 6.0% and control energy rises by 53%. Fourteen controls, including actuator saturation, a second benchmark, parametric mismatch, bounded disturbances, a search over all gains, a sampled-data implementation, a gain range extended to κ=64, and a linear-quadratic anchor, establish that the floor is structural and that the designs that buy a tight certificate are also the ones that chatter and amplify noise. A matched-performance protocol places the fixed-time law and three linear counterparts at energy parity. The result is a gain selection rule with a closed-form saturation-aware form: choose the reaching gains against the guarantee that must be certified and treat the response speed as a question about coupling authority rather than feedback gain.

Mathematical and Computational ApplicationsVol. 31(5)
University of Botswana (BW), Botswana Accountancy College (BW)
Openalex Percentile: Top 17%
Adaptive Control of Nonlinear Systems
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