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arxiveess.SY2026-07-02

Robust Stabilization of Linear Markov-Jumping Hyperbolic PDEs with Boundary Input Delay

Yihuai Zhang, Yidan Cao, Huan Yu, Lu Liu

This paper studies the robust stabilization of 2 $\times$ 2 linear hyperbolic partial differential equations (PDEs) with Markov-jumping parameters and boundary input delay. The main challenge arises from the simultaneous presence of stochastic parameter variations and input delay, which complicates both the stability analysis and controller design. To address this issue, a nominal delay-compensating backstepping controller is first designed for a fixed nominal system. Applying the nominal transformation to the stochastic system yields a target system with additional perturbation terms induced by parameter mismatch. A mode-independent Lyapunov functional is then constructed to establish a pathwise exponential estimate, which directly implies mean-square exponential stability under an explicit small-mismatch condition. The proposed analysis provides a direct robustness certificate for nominal delay compensation without using mode-dependent Lyapunov functionals. Finally, we present simulation results and discuss how the conservative small-mismatch condition should be interpreted for the numerical example.

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arxiveess.SY2026-06-30

Event-Triggered Gain Scheduling of 2 x 2 Linear Hyperbolic PDEs via Neural Operators (Full Version)

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This paper introduces a new framework for event-triggered gain scheduling applied to linear hyperbolic Partial Differential Equations (PDEs) with time- and space-varying coefficients. The approach leverages neural operators to address the challenges of real-time control in such s…

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arxiveess.SY2026-07-31

Robust stabilization of time-delay discrete switched affine systems via a predictive switching control law

Gerson Portilla, Carolina Albea, Alexandre Seuret

This paper addresses the robust control of uncertain discrete-time switched affine systems subject to a single unitary input delay. The unique feature of this class of systems lies in the fact that the control input is the switching signal, which belongs to a finite set of values…

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arxiveess.SYmath.OC2026-07-10

On robustness, input-to-state stability and backstepping for stochastic differential equations

Robert H. Moldenhauer, Dragan Nešić, Mathieu Granzotto, Romain Postoyan, Andrew R. Teel

We study conditions under which stability of the origin of stochastic differential equations is robust to small perturbations. We express robustness in two ways, firstly in the sense that stochastic stability is maintained under small parametric perturbations not exceeding a stat…

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arxivmath.OCeess.SY2026-07-04

Stability of input-output maps and their minimal realizations in state-linear, state-affine, LPV, and linear switched systems

Mihály Petreczky, Juan-Pablo Ortega, Florian Rossmannek, Bálint Daróczy

Stability is often assumed in learning and identification, yet it is rarely characterized directly from input--output data. We show that an input--output family admits a stable finite-dimensional state-linear realization iff it has finite Hankel-rank and its response decays unifo…

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arxiveess.SY2026-07-15

Non-asymptotic Bounds of Learning-based Linear MPC With Input Constraints and Unbounded Stochastic Noise

Changyi Lei, Seth Siriya, Dragan Nešić, Ye Pu

This paper studies learning-based model predictive control (MPC) for stabilizing unknown discrete-time linear systems with hard input constraints and additive unbounded sub-Gaussian disturbances. We adopt a certainty-equivalence (CE) design that combines a switching MPC control l…

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