We develop a robust safety filter for input-constrained underactuated linear systems subject to unknown bounded-rate disturbances and structured model uncertainty entering through known distribution channels. A disturbance observer provides an online disturbance estimate and a dynamic estimation-error radius that define the certified uncertainty envelope used in the robust high-order control barrier function constraints. For general polytopic actuator sets, the resulting robust safety-admissible input set is polyhedral, while the shared scalar-input specialization yields an exact interval, a necessary-and-sufficient pointwise feasibility condition, a signed feasibility reserve, and a closed-form safety projection. A domain-wise certificate relates robust HOCBF control demand to available actuator authority, while a finite-horizon energy identity quantifies deviation from the unconstrained $H_\infty$ reference without claiming preservation of its original attenuation level. Across all $16$ structured-uncertainty corners in the linear-model actuator-stress test, the filter remains feasible and safe under $\tau_{\max}=1.18$ N$\cdot$m, with $\max\abs{p}=0.0740$ m, $\max\abs{\theta}=0.205$ rad, $\max\abs{\tau}=1.173$ N$\cdot$m, and $\min\mu_S=7.27\times10^{-3}$ N$\cdot$m.
This paper develops a robust safety tracking control framework for unmanned aerial helicopter (UAH) systems subject to output constraints, input saturation, and external disturbances. To achieve this objective, a prescribed-time disturbance observer (PTDO) is first designed to estimate and compensate for unknown distur...
Biao Ma, Mou Chen, Mihai Lungu· IEEE Transactions on Automat...· 0 citations
We present a safety-critical control framework based on Disturbance Observer-Parameterized Control Barrier Functions (DOP-CBF) for general n-DOF planar robotic manipulators. The framework enforces joint angle and joint angular velocity limits as key safety constraints. It integrates a proportional-derivative (PD)-like...
H. Nguyễn, D. Pham, Loc Nguyen· International Conference on...· 0 citations
This article investigates the problem of global fixed‐time (FT) exact tracking control for high‐order nonlinear systems (HONSs) characterized by input quantization and external disturbances. Most existing approaches for handling unknown nonlinearities rely on radial basis function neural networks (RBFNNs) or fuzzy lo...
Zhi-Wei Hua· International Journal of Rob...· 0 citations
This paper proposes an adaptive-sampling control framework for linear systems subject to polytopic state and input constraints and bounded additive disturbances that continuously calculates Model Predictive Control update rates that ensure robust constraint satisfaction at all time steps.
Spencer Schutz, Charlott Vallon, Francesco Borrelli· 0 citations
Control barrier function safety filters enforce constraints by modifying a nominal input, but the resulting switching can destabilise the closed loop even when the nominal and filtered modes are individually stable. This paper presents a design framework for safe and globally exponentially stabilising controllers for l...
This paper develops Admissibility-Preserving Control (APC), a realization-centered safety-critical control framework for strict-feedback systems subject to asymmetric actuator limits, time-varying output constraints, and actuator-rate limitations. APC denotes the overall control architecture, whereas an Admissibility-P...
Saurabh Kumar, S. R. Kumar, Abhinav Sinha· 4 citations
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