This work combines the subspace predictive control technique with the integral sliding mode control strategy to formulate a novel robust subspace predictive control scheme. The subspace predictive controller provides the nominal control whereas the integral sliding mode controller gives the discontinuous control action. The aim is to improve the capability of subspace predictive controller in handling uncertainties and external disturbances. The proposed control scheme is evaluated with a simulated pressurized water nuclear reactor. The effectiveness of the proposed technique is demonstrated for two different load-following operations in the presence of uncertainties
A hierarchical Nonlinear Model Predictive Control (NMPC) scheme with guaranteed Input-to-State-pract...
This paper presents an arbitrary order continuous-time sliding mode controller based on the super-tw...
A strategy to regulate unstable processes using a modified Smith predictor based sliding mode contro...
This work combines the subspace predictive control technique with the integral sliding mode control ...
This work presents a disturbance observer-based predictive control strategy using a subspace matrix ...
This work presents a methodology for designing subspace-based gain scheduled predictive controller f...
This work presents a disturbance observer-based predictive control strategy using a subspace matrix ...
This paper presents a robust control strategy for pressurized water type nuclear power plants by com...
This work presents a methodology for designing subspace-based gain scheduled predictive controller f...
This paper proposes a control strategy for nonlinear constrained continuous-time uncertain systems w...
This letter presents a novel optimal control approach for systems represented by a multi-model, i.e....
This letter presents a novel optimal control approach for systems represented by a multi-model, i.e....
The paper presents a method to design a spatial control system based on sliding mode observer. The n...
In this paper a novel robust model predictive control (RMPC) algorithm is proposed, which is guarant...
Abstract:- An advanced robust sliding mode control scheme is proposed for linear systems. First, bas...
A hierarchical Nonlinear Model Predictive Control (NMPC) scheme with guaranteed Input-to-State-pract...
This paper presents an arbitrary order continuous-time sliding mode controller based on the super-tw...
A strategy to regulate unstable processes using a modified Smith predictor based sliding mode contro...
This work combines the subspace predictive control technique with the integral sliding mode control ...
This work presents a disturbance observer-based predictive control strategy using a subspace matrix ...
This work presents a methodology for designing subspace-based gain scheduled predictive controller f...
This work presents a disturbance observer-based predictive control strategy using a subspace matrix ...
This paper presents a robust control strategy for pressurized water type nuclear power plants by com...
This work presents a methodology for designing subspace-based gain scheduled predictive controller f...
This paper proposes a control strategy for nonlinear constrained continuous-time uncertain systems w...
This letter presents a novel optimal control approach for systems represented by a multi-model, i.e....
This letter presents a novel optimal control approach for systems represented by a multi-model, i.e....
The paper presents a method to design a spatial control system based on sliding mode observer. The n...
In this paper a novel robust model predictive control (RMPC) algorithm is proposed, which is guarant...
Abstract:- An advanced robust sliding mode control scheme is proposed for linear systems. First, bas...
A hierarchical Nonlinear Model Predictive Control (NMPC) scheme with guaranteed Input-to-State-pract...
This paper presents an arbitrary order continuous-time sliding mode controller based on the super-tw...
A strategy to regulate unstable processes using a modified Smith predictor based sliding mode contro...