The inevitable presence of uncertain parameters in critical applications of process
optimization can lead to undesirable or infeasible solutions. For this reason, optimization …

Standard benchmarks are important repositories to establish comparisons between
competing model and control methods, especially when a new method is proposed. This …

A novel input/output feedback linearization control method by utilizing nonlinear disturbance
observer (NDOB) is proposed for a quadruple-tank liquid level (QTLL) system in this paper …

In this paper, a unique overview of intelligent machines and mathematical methods
designed and developed to measure and to control the water level in industrial or laboratory …

The fundamentals of nonlinear constraint optimization are exploited in this paper to design a
decentralized PID controller for variable area coupled tank systems. Maintaining the tanks at …

A decentralized PI/PID controller based on the frequency domain analysis for two input two
output (TITO) coupled tank systems is exploited in this paper. The fundamentals of the gain …

In recent years, researchers have explored the application of Reinforcement Learning (RL)
and Artificial Neural Networks (ANNs) to the control of complex nonlinear and time varying …

According to the actual production requirements in process control, this paper proposes an
optimized control strategy for the quadruple-tank liquid level system (QTLLS). Firstly, using …

This paper deals with the problem of the observer based control design for a coupled four-
tank liquid level system. For this MIMO system's dynamics, motivated by a desire to provide …

For a large-scale distributed system, distributed model predictive control (DMPC) is a
method of choice because of its ability to explicitly accommodate constraints and to achieve …