The Mechatronic Approach to Designing Motion as a System

The idea of building a machine from isolated parts, each with its own setup and software, no longer fits how modern automation works.

AI agents are fast, loose, and out of control, MIT study finds

The majority of agentic AI systems disclose nothing about what safety testing, and many systems have no documented way to shut down a rogue bot, a study by MIT found.
GitHub

JAX-native platform for massively parallel control, system identification, and active learning of uncertain, stochastic systems.

Myriad is a playground to explore RL, traditional control, system identification, and active learning — with a focus on problems where uncertainty, stochasticity, and rare discrete dynamics play a big ...
IEEE

QSID-MPC: Model Predictive Control With System Identification From Quantized Data

Abstract: Cloud-assisted system identification and control have emerged as practical solutions for low-power, resource-constrained control systems such as micro-UAVs. In a typical cloud-assisted ...
IEEE

Least Squares Identification and Adaptive Control of Stochastic High-Order Nonlinear Systems

Abstract: This letter investigates the least-squares identification and adaptive control problem for stochastic high-order nonlinear systems. Noting that none of the existing adaptive designs on ...