Search Results for author: James Richard Forbes

Found 9 papers, 5 papers with code

Forward-Backward Extended DMD with an Asymptotic Stability Constraint

1 code implementation15 Mar 2024 Louis Lortie, Steven Dahdah, James Richard Forbes

A Koopman model of an inherently asymptotically stable system can be unstable due to noisy data and a poor choice of lifting functions.

Closed-Loop Koopman Operator Approximation

3 code implementations27 Mar 2023 Steven Dahdah, James Richard Forbes

This paper proposes a method to identify a Koopman model of a feedback-controlled system given a known controller.

regression

Reducing Two-Way Ranging Variance by Signal-Timing Optimization

no code implementations1 Nov 2022 Mohammed Ayman Shalaby, Charles Champagne Cossette, James Richard Forbes, Jerome Le Ny

In this paper, an analytical model of the variance of DS-TWR is derived as a function of the user-programmed response delays, which is then compared to the Cramer-Rao Lower Bound (CRLB).

Vocal Bursts Valence Prediction

Performance Evaluation of 3D Keypoint Detectors and Descriptors on Coloured Point Clouds in Subsea Environments

no code implementations26 Sep 2022 Kyungmin Jung, Thomas Hitchcox, James Richard Forbes

The recent development of high-precision subsea optical scanners allows for 3D keypoint detectors and feature descriptors to be leveraged on point cloud scans from subsea environments.

System Identification and Two-Degree-of-Freedom Control of Nonlinear, Viscoelastic Tissues

no code implementations28 Jul 2022 Amanda Bianco, Raphael Zonis, Anne-Marie Lauzon, James Richard Forbes, Gijs Ijpma

Objective: This paper presents a force control scheme for brief isotonic holds in an isometrically contracted muscle tissue, with minimal overshoot and settling time to measure its shortening velocity, a key parameter of muscle function.

System Norm Regularization Methods for Koopman Operator Approximation

2 code implementations18 Oct 2021 Steven Dahdah, James Richard Forbes

Asymptotic stability constraints and system norm regularizers are then incorporated as methods to improve the numerical conditioning of the Koopman operator.

regression

Linear Matrix Inequality Approaches to Koopman Operator Approximation

1 code implementation6 Feb 2021 Steven Dahdah, James Richard Forbes

The regression problem associated with finding a matrix approximation of the Koopman operator from data is considered.

regression

LMI Properties and Applications in Systems, Stability, and Control Theory

2 code implementations20 Mar 2019 Ryan James Caverly, James Richard Forbes

The purpose of this document is to collect and organize properties, tricks, and applications related to LMIs from a number of references together in a single document.

Systems and Control Optimization and Control

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