This paper presents a modification to the generalized predictive control algorithm which guarantees closed-loop stability. The GPC controller is designed using a terminal equality constraint. The available degrees of freedom are presented to the designer as parameters called principal components. This components can be left or removed from the solution to get different performances. Two methods to select the degrees of freedom are presented based on percentage of index minimized and control effort applied to the process respectively. This methods can be an alternative to the empirical selection of the weighting control factor
An overview is first provided of some of the most common formulations of Predictive Control, such as...
A polynomial predictive optimal control problem is discussed for the discrete time system where the ...
A novel multivariable state-space predictive PID optimal control law is proposed which is mathematic...
Generalised predictive control (GPC) has many attributes which make it an effective practical tool f...
This paper proposes a new generalized predictive control (GPC) having new design parameters. In sele...
Three recent papers proposed modifications to the generalized predictive control algorithm which gua...
Robustness of closed loop systems, subjected to unmodeled dynamics, using the Generalized Predictive...
Recent work has modified the basic generalized predictive-control strategy so as to derive a predict...
This paper presents new results that use step response data to produce sufficient conditions to guar...
Input constraints present a major difficulty in the design of stable predictive controllers. A conve...
Quadratic programming provides an obvious means of handling constraints within the context of genera...
The current methods of predictive controllers are utilized for those processes in which the rate of ...
In this thesis, the state space Generalized Predictive Control (GPC)is implemented in real time to b...
This paper introduces a methodology for the original design of generalised predictive controllers (G...
Generalized Predictive Control, GPC for short, provides an effective means for the control of scalar...
An overview is first provided of some of the most common formulations of Predictive Control, such as...
A polynomial predictive optimal control problem is discussed for the discrete time system where the ...
A novel multivariable state-space predictive PID optimal control law is proposed which is mathematic...
Generalised predictive control (GPC) has many attributes which make it an effective practical tool f...
This paper proposes a new generalized predictive control (GPC) having new design parameters. In sele...
Three recent papers proposed modifications to the generalized predictive control algorithm which gua...
Robustness of closed loop systems, subjected to unmodeled dynamics, using the Generalized Predictive...
Recent work has modified the basic generalized predictive-control strategy so as to derive a predict...
This paper presents new results that use step response data to produce sufficient conditions to guar...
Input constraints present a major difficulty in the design of stable predictive controllers. A conve...
Quadratic programming provides an obvious means of handling constraints within the context of genera...
The current methods of predictive controllers are utilized for those processes in which the rate of ...
In this thesis, the state space Generalized Predictive Control (GPC)is implemented in real time to b...
This paper introduces a methodology for the original design of generalised predictive controllers (G...
Generalized Predictive Control, GPC for short, provides an effective means for the control of scalar...
An overview is first provided of some of the most common formulations of Predictive Control, such as...
A polynomial predictive optimal control problem is discussed for the discrete time system where the ...
A novel multivariable state-space predictive PID optimal control law is proposed which is mathematic...