This paper presents a process control method called the predictive control used to control a nonlinear process about a selected operating point. The system of the two funnel liquid tanks in series is chosen as an exemplar process. The predictive control is used in its state-space modification for CARIMA mathematical model. This paper describes the linearization process of the nonlinear system at the operating point and a process of a control signal calculation. The designed controller is verified on the process without and with a time-delay. © Springer International Publishing Switzerland 2016
Model predictive control is a control approach that is commonly used in industrial processes. Howeve...
Model Predictive control (MPC) is shown to be particularly effective for the self-tuning control of ...
AbstractModel Predictive Control (MPC) schemes are now widely used in process industries for the con...
Abstract--This article concerns non-linear control of single-input-single-output processes with inpu...
This paper presents a multimodel approach to control nonlinear systems. The system of the inverted p...
This paper presents a possible way to control the a very fast nonlinear systems. The system of the i...
The article focuses on control of a system consisting of a series of liquid tanks. Accumulation of i...
The paper introduces a controller which integrates a predictive control synthesis based on a multiva...
This paper presents a concept of the continuous-time gain scheduled 2DOF control for the nonlinear s...
Many nonlinear processes in industry exhibit time delay in their dynamic behavior. Time delay is mai...
This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level con...
This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level con...
This paper proposes to study the potential of use a three-tank system in laboratory scale to teach h...
The paper discusses predictive control algorithms in the context of applications to robotics and man...
A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimize...
Model predictive control is a control approach that is commonly used in industrial processes. Howeve...
Model Predictive control (MPC) is shown to be particularly effective for the self-tuning control of ...
AbstractModel Predictive Control (MPC) schemes are now widely used in process industries for the con...
Abstract--This article concerns non-linear control of single-input-single-output processes with inpu...
This paper presents a multimodel approach to control nonlinear systems. The system of the inverted p...
This paper presents a possible way to control the a very fast nonlinear systems. The system of the i...
The article focuses on control of a system consisting of a series of liquid tanks. Accumulation of i...
The paper introduces a controller which integrates a predictive control synthesis based on a multiva...
This paper presents a concept of the continuous-time gain scheduled 2DOF control for the nonlinear s...
Many nonlinear processes in industry exhibit time delay in their dynamic behavior. Time delay is mai...
This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level con...
This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level con...
This paper proposes to study the potential of use a three-tank system in laboratory scale to teach h...
The paper discusses predictive control algorithms in the context of applications to robotics and man...
A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimize...
Model predictive control is a control approach that is commonly used in industrial processes. Howeve...
Model Predictive control (MPC) is shown to be particularly effective for the self-tuning control of ...
AbstractModel Predictive Control (MPC) schemes are now widely used in process industries for the con...