This paper is concerned with the design of PID controllers, which have similar features to the model-based predictive controller. A PID type control structure is defined which includes prediction of the output and the recalculation of new set point using the future set point data. The optimal values of the PID gains are calculated using the values of gains calculated using unconstrained generalised predictive control algorithm. It is also shown that the system stability can be reached for general second and third order systems. Simulation studies demonstrate the performance of the proposed controller and the results are compared with conventional and generalised predictive control solutions
The design of low-order predictive optimal controllers, that involve a multi-step cost index and fut...
Generalized predictive control algorithms with reference models on imputs and outputs of the process...
In this work, a new predictive proportional-integral-derivative (PID) tuning method is proposed base...
This paper is concerned with the design of PID controllers, which have similar features to the model...
The design of predictive PID controllers with similar features to the model-based predictive control...
This paper is concerned with the design of PID controllers, which have similar features to the model...
This paper is concerned with the design of Multi-Inputs and Multi- Outputs (MIMO) predictive PID con...
A polynomial predictive optimal control problem is discussed for the discrete time system where the ...
Even though employed widely in industrial practice, the popular proportional?integral?derivative (PI...
A new class of nonlinear PID controllers are derived for nonlinear systems using a nonlinear general...
In this paper a predictive Proportional-Integral- Derivative (PID) controller is proposed for ship M...
A novel multivariable state-space predictive PID optimal control law is proposed which is mathematic...
In many industrial processes, the regulatory level based on PID controllers is able to maintain the ...
Generalised predictive control (GPC) has many attributes which make it an effective practical tool f...
Generalized predictive control (GPC) algorithm has been applied to all kinds of industry control sys...
The design of low-order predictive optimal controllers, that involve a multi-step cost index and fut...
Generalized predictive control algorithms with reference models on imputs and outputs of the process...
In this work, a new predictive proportional-integral-derivative (PID) tuning method is proposed base...
This paper is concerned with the design of PID controllers, which have similar features to the model...
The design of predictive PID controllers with similar features to the model-based predictive control...
This paper is concerned with the design of PID controllers, which have similar features to the model...
This paper is concerned with the design of Multi-Inputs and Multi- Outputs (MIMO) predictive PID con...
A polynomial predictive optimal control problem is discussed for the discrete time system where the ...
Even though employed widely in industrial practice, the popular proportional?integral?derivative (PI...
A new class of nonlinear PID controllers are derived for nonlinear systems using a nonlinear general...
In this paper a predictive Proportional-Integral- Derivative (PID) controller is proposed for ship M...
A novel multivariable state-space predictive PID optimal control law is proposed which is mathematic...
In many industrial processes, the regulatory level based on PID controllers is able to maintain the ...
Generalised predictive control (GPC) has many attributes which make it an effective practical tool f...
Generalized predictive control (GPC) algorithm has been applied to all kinds of industry control sys...
The design of low-order predictive optimal controllers, that involve a multi-step cost index and fut...
Generalized predictive control algorithms with reference models on imputs and outputs of the process...
In this work, a new predictive proportional-integral-derivative (PID) tuning method is proposed base...