This letter presents a kernelized offset-free data-driven predictive control scheme for nonlinear systems. Traditional model-based and data-driven predictive controllers often struggle with inaccurate ...

Rather than bundling every option at the point of sale, automakers are now offering features that can be activated temporarily, often through over-the-air updates. For example, a driver planning a ...

An enhanced accuracy finite-control-set model-predictive control (FCS-MPC) is presented in this letter. The main advantage of conventional FCS-MPC is its ease in achieving multiobjective optimization ...

When the first reports of a new COVID-19 variant emerge, scientists worldwide scramble to answer a critical question: Will ...

ITT is quietly blending its mission-critical hardware with high margin service and software offerings. Read why I rate ITT stock a Buy.

O penAI's large language model (LLM) ChatGPT is surprisingly good at piloting spacecraft, according to a team that trained it ...

A machine learning approach leverages nuclear microreactor symmetry to reduce training time when modeling power output ...

Predictive analytics is transforming security operations—giving leaders time to act, context to decide, and the foresight to ...

Predictive processing is an influential framework in neuroscience that posits the brain as a prediction machine—constantly generating and updating internal ...

Artificial intelligence (AI) is revolutionizing the energy sector, particularly in the realm of predictive maintenance for power plants. By leveraging advanced algorithms and real-time data analytics, ...

Model Predictive Control (MPC) for stabilization of a cart-pendulum system. The files in this repository evaluate LQR, linear MPC, nonlinear MPC and Reference Governor (RG) algorithms.