Generalized predictive control (GPC) algorithm has been applied to all kinds of industry control systems. But systemic and effective method for nonlinear system has not been found. To this problem, this paper integrates the characteristics of PID technology and GPC, present a PID generalized predictive control algorithm for a class of nonlinear system, and improves the control quality of the system. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7215
This paper proposes a new generalized predictive control (GPC) having new design parameters. In sele...
This paper presents a Generalized Predictive Control (GPC) design scheme based on database-driven ap...
In this thesis, the state space Generalized Predictive Control (GPC)is implemented in real time to b...
A new class of nonlinear PID controllers are derived for nonlinear systems using a nonlinear general...
An overview is first provided of some of the most common formulations of Predictive Control, such as...
This paper is concerned with the design of PID controllers, which have similar features to the model...
Generalised predictive control (GPC) has many attributes which make it an effective practical tool f...
A new class of nonlinear PID controllers are derived for nonlinear systems using a Nonlinear General...
Fast algorithms for generalized predictive control (GPC) are derived by adopting an approach whereby...
This paper is concerned with the direct approach of adaptive generalized predictive control. An impl...
A nonlinear generalized predictive control algorithm based upon a Hammerstein model is presented. St...
Also known as Mathematical sciences report A no. 253Available from British Library Document Supply C...
In this work, a new predictive proportional-integral-derivative (PID) tuning method is proposed base...
In this paper a predictive Proportional-Integral- Derivative (PID) controller is proposed for ship M...
Most predictive control algorithms, including the Generalized Predictive Control (GPC) (Clarke et al...
This paper proposes a new generalized predictive control (GPC) having new design parameters. In sele...
This paper presents a Generalized Predictive Control (GPC) design scheme based on database-driven ap...
In this thesis, the state space Generalized Predictive Control (GPC)is implemented in real time to b...
A new class of nonlinear PID controllers are derived for nonlinear systems using a nonlinear general...
An overview is first provided of some of the most common formulations of Predictive Control, such as...
This paper is concerned with the design of PID controllers, which have similar features to the model...
Generalised predictive control (GPC) has many attributes which make it an effective practical tool f...
A new class of nonlinear PID controllers are derived for nonlinear systems using a Nonlinear General...
Fast algorithms for generalized predictive control (GPC) are derived by adopting an approach whereby...
This paper is concerned with the direct approach of adaptive generalized predictive control. An impl...
A nonlinear generalized predictive control algorithm based upon a Hammerstein model is presented. St...
Also known as Mathematical sciences report A no. 253Available from British Library Document Supply C...
In this work, a new predictive proportional-integral-derivative (PID) tuning method is proposed base...
In this paper a predictive Proportional-Integral- Derivative (PID) controller is proposed for ship M...
Most predictive control algorithms, including the Generalized Predictive Control (GPC) (Clarke et al...
This paper proposes a new generalized predictive control (GPC) having new design parameters. In sele...
This paper presents a Generalized Predictive Control (GPC) design scheme based on database-driven ap...
In this thesis, the state space Generalized Predictive Control (GPC)is implemented in real time to b...