When model-based multivariable control made its debut in the 1980s, it was expected that process models, once acquired through a plant step test, would be durable and long lived. However, this ...

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Greg: Unit operations are affected by other upstream and downstream unit operations. That’s why plantwide control is necessary, so unit operations work together toward the common goals of greater ...

Multivariable control systems are systems that have more than one input and output variable, and that are affected by interactions between them. They are widely used in many engineering applications, ...

Abstract: The control problem of fluid catalytic cracking (FCC) units is a challenging task due to its model complexity, nonlinear dynamics, constrained variables and cross coupling interaction ...

There are different methods for tuning a multivariable control system, such as trial and error, model-based, and optimization-based. Each method has its advantages and disadvantages, depending on the ...

† Instituto de Ingenierı́a Quı́mica, Universidad Nacional de San Juan (UNSJ), CONICET, Av. Lib. San Martı́n Oeste 1109, San Juan J5400ARL, Argentina ‡ Instituto de Automática, Facultad de Ingenierı́a, ...

Abstract: This work proposes a new method for simplifying periodic output feedback control for multivariable systems with more number outputs than inputs. The computational complexity of the ...

Multivariable feedback control systems address the coordinated regulation of processes with multiple interacting inputs and outputs. By modelling the plant in state-space or frequency domains, ...

The most nonlinear elements in large multivariable controller models are the valve positions. All of the large-scale multivariable controllers today are assumed linear. They are based on linear ...