Nonlinear Predictive Cost Adaptive Control of Pseudo-Linear Input-Output Models Using Polynomial, Fourier, and Cubic Spline Observables

arXiv:2602.05263 · eess.SY, cs.SY · Submitted 2026-02-05 · Read on arXiv

eess.SY, cs.SY

Submitted: 2026-02-05

Updated: 2026-08-19

Comments: Accepted and presented at IEEE CCTA 2026

DOI: 10.1109/CCTA62090.2026.11684120

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Model Predictive Control (MPC) — 3× in this paper · explained in 5 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Quadratic Programming (QP) — 1× in this paper · explained in 2 episodes
• System Identification — 1× in this paper · explained in 3 episodes

Sources

• Output-Feedback Nonlinear Model Predictive Control with Iterative State- and Control-Dependent Coefficients
• SIFt-RLS: Subspace of Information Forgetting Recursive Least Squares

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