Model Predictive Control (MPC) has emerged as a versatile and robust strategy in modern control engineering, enabling controllers to predict future system behaviour and optimise performance over a ...

Model Predictive Control (MPC) has emerged as a pivotal strategy for optimising the performance of power electronic converters and motor drive systems. By utilising an explicit model of the controlled ...

Distributed model predictive control (DMPC) offers a computationally efficient alternative to centralized model predictive control (CMPC) for enabling the optimal control of industrial process systems ...

Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous tractors. Classic approaches such as proportional–integral–derivative (PID ...

Predictive analytics is the study of historical data to make future predictions. It is a data analysis method that uses past ...