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20212026
most citedControl Barrier Functions With Unmodeled Dynamics Using Integral Quadratic Constraints

37 citations · 62 across the 10 of their papers we have counts for

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10 papers

eess.SY2026

Polynomial Constraints for Robustness Analysis of Nonlinear Systems

Neelay Junnarkar, Peter Seiler, Murat Arcak

This paper presents a framework for abstracting uncertain or non-polynomial components of dynamical systems using polynomial constraints. This enables the application of polynomial…

eess.SY2024★ 2 cited

Fast Assignment in Asset-Guarding Engagements using Function Approximation

Neelay Junnarkar, Emmanuel Sin, Peter Seiler +2

This letter considers assignment problems consisting of n pursuers attempting to intercept n targets. We consider stationary targets as well as targets maneuvering toward an asset.…

math.OC2023

Integral Quadratic Constraints with Infinite-Dimensional Channels

Aleksandr Talitckii, Peter Seiler, Matthew M. Peet

Modern control theory provides us with a spectrum of methods for studying the interconnection of dynamic systems using input-output properties of the interconnected subsystems. Per…

math.OC2023★ 4 cited

Robust Regret Optimal Control

Jietian Liu, Peter Seiler

This paper presents a synthesis method for robust, regret optimal control. The plant is modeled in discrete-time by an uncertain linear time-invariant (LTI) system. An optimal non-…

eess.SY2022★ 4 cited

Structured Singular Value of a Repeated Complex Full-Block Uncertainty

Talha Mushtaq, Diganta Bhattacharjee, Peter Seiler +1

The structured singular value (SSV), or mu, is used to assess the robust stability and performance of an uncertain linear time-invariant system. Existing algorithms compute upper a…

math.OC2022★ 6 cited

Analysis of Gradient Descent with Varying Step Sizes using Integral Quadratic Constraints

Ram Padmanabhan, Peter Seiler

The framework of Integral Quadratic Constraints (IQCs) is used to perform an analysis of gradient descent with varying step sizes. Two performance metrics are considered: convergen…

eess.SY2022★ 9 cited

Synthesis of Stabilizing Recurrent Equilibrium Network Controllers

Neelay Junnarkar, He Yin, Fangda Gu +2

We propose a parameterization of a nonlinear dynamic controller based on the recurrent equilibrium network, a generalization of the recurrent neural network. We derive constraints…

math.OC2022

Revisiting PGD Attacks for Stability Analysis of Large-Scale Nonlinear Systems and Perception-Based Control

Aaron Havens, Darioush Keivan, Peter Seiler +2

Many existing region-of-attraction (ROA) analysis tools find difficulty in addressing feedback systems with large-scale neural network (NN) policies and/or high-dimensional sensing…

math.OC2021

Robust Control Barrier Functions with Sector-Bounded Uncertainties

Jyot Buch, Shih-Chi Liao, Peter Seiler

This paper focuses on safety critical control with sector-bounded uncertainties at the plant input. The uncertainties can represent nonlinear and/or time-varying components. We pro…

eess.SY2021★ 37 cited

Control Barrier Functions With Unmodeled Dynamics Using Integral Quadratic Constraints

Peter Seiler, Mrdjan Jankovic, Erik Hellstrom

This paper presents a control design method that achieves safety for systems with unmodeled dynamics at the plant input. The proposed method combines control barrier functions (CBF…