An overview is first provided of some of the most common formulations of Predictive Control, such as Dynamic Matrix Control (DMC), Predictive Functional Control (PFC), Preview Control and Generalized Predictive Control (GPC). The main features, advantages and disadvantages are discussed. A new algorithm, based on a so called Linear Quadratic Generalized Predictive Controller (LQGPC) is then introduced. This algorithm combines features of Predictive Control with those of Linear Quadratic Gaussian Control, providing improved stability and robustness properties
This paper presents two applications of an alternative formulation for one-layer real time structure...
The main objective of this paper is to investigate the erformance and applicability of two GPC (gene...
The design of nonlinear predictive controllers based on linear time-varying prediction models is dis...
An overview is first provided of some of the most common formulations of Predictive Control, such as...
The paper discusses state-space generalized predictive control and the preview control algorithms. T...
Generalised predictive control (GPC) has many attributes which make it an effective practical tool f...
Fast algorithms for generalized predictive control (GPC) are derived by adopting an approach whereby...
Generalized predictive control (GPC) algorithm has been applied to all kinds of industry control sys...
Model predictive control is the family of controllers, makes the explicit use of model to obtain con...
A new member of the family of long-range predictive controllers is shown to be suitable for the adap...
The research work presented in this thesis addresses the problem of robust control of uncertain line...
Quadratic programming provides an obvious means of handling constraints within the context of genera...
The paper discusses predictive control algorithms in the context of applications to robotics and man...
Motivated by a specific manufacturing problem in 1990, Exxon Chemical Company embarked on the develo...
General Predictive Control (GPC) is a modern method for process control which is appropriate for man...
This paper presents two applications of an alternative formulation for one-layer real time structure...
The main objective of this paper is to investigate the erformance and applicability of two GPC (gene...
The design of nonlinear predictive controllers based on linear time-varying prediction models is dis...
An overview is first provided of some of the most common formulations of Predictive Control, such as...
The paper discusses state-space generalized predictive control and the preview control algorithms. T...
Generalised predictive control (GPC) has many attributes which make it an effective practical tool f...
Fast algorithms for generalized predictive control (GPC) are derived by adopting an approach whereby...
Generalized predictive control (GPC) algorithm has been applied to all kinds of industry control sys...
Model predictive control is the family of controllers, makes the explicit use of model to obtain con...
A new member of the family of long-range predictive controllers is shown to be suitable for the adap...
The research work presented in this thesis addresses the problem of robust control of uncertain line...
Quadratic programming provides an obvious means of handling constraints within the context of genera...
The paper discusses predictive control algorithms in the context of applications to robotics and man...
Motivated by a specific manufacturing problem in 1990, Exxon Chemical Company embarked on the develo...
General Predictive Control (GPC) is a modern method for process control which is appropriate for man...
This paper presents two applications of an alternative formulation for one-layer real time structure...
The main objective of this paper is to investigate the erformance and applicability of two GPC (gene...
The design of nonlinear predictive controllers based on linear time-varying prediction models is dis...