This paper presents a Generalized Predictive Control (GPC) design scheme based on database-driven approach for nonlinear systems. In industrial systems, lots of controlled plants with unknown time-delay and strong nonlinearity, are difficult to be handled in terms of control performance. The databased-driven approach has been attracted attention to tackle non-linearity issue without system information. On the other hand, GPC is considered in cases where the time-delay is unknown. The proposed scheme is validated through a numerical simulation
A new class of nonlinear PID controllers are derived for nonlinear systems using a Nonlinear General...
The paper discusses predictive control algorithms in the context of applications to robotics and man...
INTERNATIONAL SYMPOSIUM ON ADVANCED CONTROL OF CHEMICAL PROCESSThis paper presents two applications ...
Most predictive control algorithms, including the Generalized Predictive Control (GPC) (Clarke et al...
This thesis develops a novel predictive control strategy called Sampled-Data Generalized Predictive ...
Generalized predictive control (GPC) algorithm has been applied to all kinds of industry control sys...
In general, decentralized control refers to the multivariable control of a nxn square process using ...
Facing the big challenge of directly designing a generalized predictive controller (GPC) for a class...
A new member of the family of long-range predictive controllers is shown to be suitable for the adap...
A new nonlinear predictive control law for a class of multivariable nonlinear systems is presented i...
This paper presents a data-driven scheme that can obtain the optimized Generalized Minimum Variance ...
In this paper, a design problem of a continuous-time anti-windup generalized predictive control (CAG...
A Nonlinear Predictive Generalized Minimum Variance (NPGMV) control algorithm is introduced for the ...
Abstract: This paper presents an intelligent generalized predictive controller (GPC) based on partic...
Since the last three decades predictive control has shown to be successful in control industry, but ...
A new class of nonlinear PID controllers are derived for nonlinear systems using a Nonlinear General...
The paper discusses predictive control algorithms in the context of applications to robotics and man...
INTERNATIONAL SYMPOSIUM ON ADVANCED CONTROL OF CHEMICAL PROCESSThis paper presents two applications ...
Most predictive control algorithms, including the Generalized Predictive Control (GPC) (Clarke et al...
This thesis develops a novel predictive control strategy called Sampled-Data Generalized Predictive ...
Generalized predictive control (GPC) algorithm has been applied to all kinds of industry control sys...
In general, decentralized control refers to the multivariable control of a nxn square process using ...
Facing the big challenge of directly designing a generalized predictive controller (GPC) for a class...
A new member of the family of long-range predictive controllers is shown to be suitable for the adap...
A new nonlinear predictive control law for a class of multivariable nonlinear systems is presented i...
This paper presents a data-driven scheme that can obtain the optimized Generalized Minimum Variance ...
In this paper, a design problem of a continuous-time anti-windup generalized predictive control (CAG...
A Nonlinear Predictive Generalized Minimum Variance (NPGMV) control algorithm is introduced for the ...
Abstract: This paper presents an intelligent generalized predictive controller (GPC) based on partic...
Since the last three decades predictive control has shown to be successful in control industry, but ...
A new class of nonlinear PID controllers are derived for nonlinear systems using a Nonlinear General...
The paper discusses predictive control algorithms in the context of applications to robotics and man...
INTERNATIONAL SYMPOSIUM ON ADVANCED CONTROL OF CHEMICAL PROCESSThis paper presents two applications ...