Robustness of closed loop systems, subjected to unmodeled dynamics, using the Generalized Predictive Controller (GPC) is analysed. A stability bound equation for the GPC controller is derived using the small gain theorem and, from the analysis of this equation, guidelines for selecting the order of the observer polynomial T in the GPC are developed. The choice of the polynomial T order is based on the stability bound equation tendency in high frequencies and is a function of the GPC tuning knobs. Different strategies for choosing the polynomial T roots are also included. The aim is to improve robustness. Copyright (C) 1996 Elsevier Science Ltd22531532
The recently introduced self-tuning Generalized Predictive Control (GPC) algorithm based on long ran...
RESUMO O presente trabalho tem o objetivo de apresentar uma análise em malha fechada do controlador...
The current methods of predictive controllers are utilized for those processes in which the rate of ...
Generalised predictive control (GPC) has many attributes which make it an effective practical tool f...
This paper presents new results that use step response data to produce sufficient conditions to guar...
In this study, the stability behavior of Generalized Predictive Controllers (GPC) as one of model pr...
This paper presents a modification to the generalized predictive control algorithm which guarantees...
Three recent papers proposed modifications to the generalized predictive control algorithm which gua...
This paper proposes a new generalized predictive control (GPC) having new design parameters. In sele...
This paper introduces a methodology for the original design of generalised predictive controllers (G...
This paper generalizes earlier results on the conditions for the deadbeat settings of generalized pr...
Recent work has modified the basic generalized predictive-control strategy so as to derive a predict...
A new member of the family of long-range predictive controllers is shown to be suitable for the adap...
Nominal models of linear systems subject to uncertainty are normally assumed to be most representati...
An observer based Restricted Structure Generalized Predictive Control (RS-GPC) algorithm is proposed...
The recently introduced self-tuning Generalized Predictive Control (GPC) algorithm based on long ran...
RESUMO O presente trabalho tem o objetivo de apresentar uma análise em malha fechada do controlador...
The current methods of predictive controllers are utilized for those processes in which the rate of ...
Generalised predictive control (GPC) has many attributes which make it an effective practical tool f...
This paper presents new results that use step response data to produce sufficient conditions to guar...
In this study, the stability behavior of Generalized Predictive Controllers (GPC) as one of model pr...
This paper presents a modification to the generalized predictive control algorithm which guarantees...
Three recent papers proposed modifications to the generalized predictive control algorithm which gua...
This paper proposes a new generalized predictive control (GPC) having new design parameters. In sele...
This paper introduces a methodology for the original design of generalised predictive controllers (G...
This paper generalizes earlier results on the conditions for the deadbeat settings of generalized pr...
Recent work has modified the basic generalized predictive-control strategy so as to derive a predict...
A new member of the family of long-range predictive controllers is shown to be suitable for the adap...
Nominal models of linear systems subject to uncertainty are normally assumed to be most representati...
An observer based Restricted Structure Generalized Predictive Control (RS-GPC) algorithm is proposed...
The recently introduced self-tuning Generalized Predictive Control (GPC) algorithm based on long ran...
RESUMO O presente trabalho tem o objetivo de apresentar uma análise em malha fechada do controlador...
The current methods of predictive controllers are utilized for those processes in which the rate of ...