Abstract:- This work presents a system of tuning equations, based on the sliding surface response, to predict the changes in the parameters of the process, which were used to improve and to tune the predictive dynamic matrix controller parameters. The controller presents a fixed structure and its tuning parameter equations were developed relating the characteristics of the sliding surface and the characteristic parameters of the first order plus deadtime model. Simulations on a blended tank with variable level that presents non linear behavior were considered
This paper presents a novel parameter tuning law that forces the emergence of a sliding motion in th...
Vessel dynamic positioning (DP) systems are based on conventional PID-type controllers and an extend...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
In general, sliding mode controllers with moving sliding surfaces are achieved by using time-depende...
In general, sliding mode controllers with moving sliding surfaces are achieved by using time-depende...
Model Predictive Control has emerged as a very powerful technology in the area of process control fo...
Model Predictive Control Schemes are now being widely used for plant-wide control to satisfy inequal...
A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimize...
Model Predictive control (MPC) is shown to be particularly effective for the self-tuning control of ...
In this paper, a decentralized dynamic sliding mode control (DySMC) strategy is applied to a multiva...
Two application applications of Fuzzy Logic to improve the performance of two controllers are presen...
In this study, a sliding mode controller with a linear time-varying sliding surface is proposed for ...
In this study, a sliding mode controller with a linear time-varying sliding surface is proposed for ...
This paper demonstrates the use of Model Predictive Control (MPC) to system control. Dynamic Matrix ...
The main objective of this study is to propose new approaches for on-line tuning of the linear slidi...
This paper presents a novel parameter tuning law that forces the emergence of a sliding motion in th...
Vessel dynamic positioning (DP) systems are based on conventional PID-type controllers and an extend...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
In general, sliding mode controllers with moving sliding surfaces are achieved by using time-depende...
In general, sliding mode controllers with moving sliding surfaces are achieved by using time-depende...
Model Predictive Control has emerged as a very powerful technology in the area of process control fo...
Model Predictive Control Schemes are now being widely used for plant-wide control to satisfy inequal...
A model-based predictive controller known as Dynamic Matrix Control with Linear Programming optimize...
Model Predictive control (MPC) is shown to be particularly effective for the self-tuning control of ...
In this paper, a decentralized dynamic sliding mode control (DySMC) strategy is applied to a multiva...
Two application applications of Fuzzy Logic to improve the performance of two controllers are presen...
In this study, a sliding mode controller with a linear time-varying sliding surface is proposed for ...
In this study, a sliding mode controller with a linear time-varying sliding surface is proposed for ...
This paper demonstrates the use of Model Predictive Control (MPC) to system control. Dynamic Matrix ...
The main objective of this study is to propose new approaches for on-line tuning of the linear slidi...
This paper presents a novel parameter tuning law that forces the emergence of a sliding motion in th...
Vessel dynamic positioning (DP) systems are based on conventional PID-type controllers and an extend...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...