Skip to main content
Hoai-Nam NGUYEN on Muck Rack

Hoai-Nam NGUYEN

As seen in: Taylor & Francis Online, Product Hunt
Is this you? As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work. Claim your profile

Get in touch with Hoai-Nam

Contact Hoai-Nam, search articles and posts on X, monitor coverage, and track replies from one place.

Learn more about Muck Rack

Actions

Share this page

Is this you?

As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.
Claim your profile

Articles

Model predictive control for linear parameter varying systems: a double-sum-free parameter-dependent lyapunov function approach

|
By Jin Yan, Hoai-Nam NGUYEN, Nel Samama
| Taylor & Francis Online
We present a novel model predictive control framework for linear parameter varying (LPV) systems, leveraging a parameter-dependent Lyapunov function (PDLF) while eliminating the conventional double-sum formulation. Traditional PDLF-based approaches for LPV systems often rely on non-convex double summations, requiring approximation techniques such as sum-of-squares programming to derive tractable linear matrix inequality (LMI) conditions.
Open in Who Shared Issue with article?

Computer Science > Machine Learning

|
By Hoai-Nam NGUYEN
| arxiv.org
Open in Who Shared Issue with article?

SSSmodel - because 2 LLMs is better than one | Product Hunt

|
By Andy Tran, Dante Cardines, Hoai-Nam NGUYEN
| Product Hunt
Home Product SSSmodel SSSModel lets you prompt 2 models at the same time, supporting openAI, deepseek, llama, and more. We also provide social prompting (see & learn from others), and prompt diff (quickly understand the differences between each LLM's reply). Free Options About this launch SSSmodel because 2 LLMs is better than one was hunted by in SSSmodel by Artificial Intelligence. Made by , , and . Featured on March 4th, 2025. is not rated yet. This is SSSmodel's first launch.
Open in Who Shared Issue with article?
See all 3 articles