The Takagi--Sugeno (T--S) fuzzy descriptor system offers a promising avenue for controlling non-linear systems but lacks optimal control strategies. Moreover, while robust control methods have been ...

Inverse optimal control (IOC) is an advanced methodological framework that seeks to deduce the underlying cost or reward functions based solely on the observation of optimal behaviour. Traditionally, ...

Dynamic Programming and Optimal Control is offered within DMAVT and attracts in excess of 300 students per year from a wide variety of disciplines. It is an integral part of the Robotics, System and ...

Research in dynamics includes theoretical, computational and experimental research in the general area of dynamical systems, dynamics and vibrations, dynamics of flexible bodies, high-dimensional ...

Yokogawa Electric Corporation announces that Yokogawa and Shell have jointly developed Platform for Advanced Control and Estimation, a software suite that speeds up and simplifies the process of ...

This graduate level survey course will cover the physiological elements within the vertebrate motor system and the computational problems intrinsic to the production of movement. We will cover the ...

The Baskin School of Engineering at UC Santa Cruz will host a regional symposium on Control Theory and Automation on Friday, April 27. The symposium will bring together the leading experts in control ...

A research team has reviewed how machine learning (ML) is revolutionizing fermentation design and process optimization by ...

Exploring the Future of Metabolic Optimization As we advance into 2026, the pursuit of optimal health and performance continues to evolve with the development of innovative metabolic optimization ...