A Neural Network-based Contraction Control with Online Parameter Identification for Uncertain Nonlinear Systems. - Lai Wei 004; Ryan McCloy; Jie Bao 002 (ANZCC, 2021)

Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems. - Lai Wei 004; Ryan McCloy; Jie Bao 002 (CoRR, 2021)

Contraction Analysis and Control Synthesis for Discrete-time Nonlinear Processes. - Lai Wei 004; Ryan McCloy; Jie Bao 002 (CoRR, 2021)

Discrete-time contraction-based control of nonlinear systems with parametric uncertainties using neural networks. - Lai Wei 004; Ryan McCloy; Jie Bao 002 (Comput. Chem. Eng., 2022)

Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks. - Lai Wei 004; Ryan McCloy; Jie Bao 002 (CoRR, 2022)

A Contraction-constrained Model Predictive Control for Nonlinear Processes using Disturbance Forecasts. - Lai Wei 004; Ryan McCloy; Jie Bao 002 (CoRR, 2022)

A Contraction-constrained Model Predictive Control for Multi-timescale Nonlinear Processes. - Ryan McCloy; Lai Wei 004; Jie Bao 002 (CoRR, 2022)

Adaptive Meshes and Contraction Condition Certification for Nonlinear Control Synthesis Using Machine Learning. - Lai Wei 004; Ryan McCloy; Jie Bao 002 (ACC, 2024)