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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.OC2026

Reachability Analysis for Design Optimization

Steven Nguyen, Jorge Cortés, Boris Kramer

We present an approach to approximate reachable sets for linear systems with bounded L-infinity controls in finite time. Our first approach investigates the boundaries of these set…

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…