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math.OC2026

Nonlinear Feedback Control in High Dimensions using the Polynomial-Polynomial Regulator

Nicholas A. Corbin, Boris Kramer

We consider the problem of computing Taylor approximations to the optimal feedback law and value function for infinite-horizon finite-dimensional nonlinear optimal control problem-…

math.OC2026

Nonlinear balanced truncation model reduction through scalable Taylor series

Nicholas A. Corbin, Boris Kramer

The theory of nonlinear balanced truncation provides a system-theoretic framework for model reduction that preserves important properties such as stability, controllability, and ob…

math.OC2024

Scalable computation of input-normal/output-diagonal balanced realization for control-affine polynomial systems

Nicholas A. Corbin, Arijit Sarkar, Jacquelien M. A. Scherpen +1

We present a scalable tensor-based approach to computing input-normal/output-diagonal nonlinear balancing transformations for control-affine systems with polynomial nonlinearities.…

math.OC2024

Computing Solutions to the Polynomial-Polynomial Regulator Problem

Nicholas A. Corbin, Boris Kramer

We consider the optimal regulation problem for nonlinear control-affine dynamical systems. Whereas the linear-quadratic regulator (LQR) considers optimal control of a linear system…

math.OC2024

Scalable Computation of Energy Functions for Polynomial Control-Affine Systems

Nicholas A. Corbin, Boris Kramer

We present a scalable approach to computing nonlinear balancing energy functions for control-affine systems with polynomial nonlinearities. Al'brekht's power-series method is used…

math.OC2024

Scalable Computation of Energy Functions for Polynomial Drift Nonlinear Systems

Nicholas A. Corbin, Boris Kramer

This paper presents a scalable tensor-based approach to computing controllability and observability-type energy functions for nonlinear dynamical systems with polynomial drift and…