Mayank Kumar is the Founding AI Engineer at DeepTempo, where he leads the design and development of the company’s ...

This study presents a novel approach to dynamic event-triggered model predictive control (MPC) for nonlinear discrete-time cyber-physical systems (CPSs) subject to simultaneous hybrid denial of ...

VB Transform brings together the people building real enterprise AI strategy. Learn more Palo Alto-based Catio was awarded “Coolest Technology” at VentureBeat Transform 2025 in San Francisco on ...

The computational efficiency of traditional model order reduction (MOR) methods may degrade sharply for multi-input multi-output (MIMO) systems especially when the number of ports of MIMO systems is ...

Yip agreed that although parts of the Sanming model would be hard to implement nationwide, she said parts could still be applied in more densely populated areas. Nevertheless, she told The Lancet that ...

Library that combines control engineering, dynamic simulation and machine learning on time-series. Developed to describe industrial processes and -automation. Lightweight, robust and fast for use in ...

Dymos is a framework for the simulation and optimization of dynamical systems within the OpenMDAO Multidisciplinary Analysis and Optimization environment. Dymos leverages implicit and explicit ...

Most covalent adaptable networks (CANs) based on citric acid (CA) exhibit low thermostability, low glass-transition temperatures (Tg), and poor mechanical properties. Moreover, their slow relaxation ...

Accurate feedback signals play an important role in the control system. Sensors used for obtaining outputs are inevitably corrupted by the measurement noise in both devices themselves and outside the ...

One way to prepare these informed decisions is to consistently apply the principles of model-based systems engineering (MBSE) in system development. This term has been used in the field of software ...