Nonlinear control systems represent a critical area of study wherein the relationship between inputs and outputs is not directly proportional, resulting in complex and often unpredictable dynamics ...

Traditional control systems like Nonlinear Dynamic Inversion (NDI) rely heavily on precise mathematical models. While this worked well for ...

In everyday life, many systems obey simple, linear rules: if you pull twice as hard on a spring, it stretches twice as far.

The first robot I remember is Rosie from The Jetsons, soon followed by the urbane C-3PO and his faithful sidekick R2-D2 in ...

Researchers from China Agricultural University and Jiangsu University have developed a new control mechanism for electric tractors. Their study, ...

The paper describes the problem of creation of a tracked mobile robot nonlinear control system to be able to move in an environment with obstacles. To solve the problem, a method of mobile robots ...

The researchers designed a mobile application that functions as a central interface for energy monitoring and optimization.

Devices taking advantage of the collective quantum behavior of spin excitations in magnetic materials—known as magnons—have ...

The system dynamics are reconstructed to describe the nonlinear multi-agent systems via the intermittent control method and a hybrid event-triggered mechanism. This study represents the first attempt ...

Central to the operational efficiency of HEVs is the Energy Management Strategy (EMS), which determines how power is distributed between the internal combustion engine and the electric motor.

Suddenly feeling old? Evidence now suggests that rather than a long, steady decline, we dramatically age around three ...

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed ...