We present a control scheme combining a Model Predictive Control (MPC) layer and a hierarchically inferior one, in general not of the MPC type. The purpose is to avoid solving the MPC optimisation problem at each control step, thereby lightening the computational burden. The MPC controller can be designed within the classical receding horizon framework, and independently of the lower layer. This makes it easy to apply the scheme to existing systems, where the lower layer may just be the pre-existing control, in a view to enhancing industrial applicability. We name the approach grounding the scheme “sporadic” MPC, owing to the characteristic just evidenced, and in particular to the particular interplay with the existing control layer. We sho...
Due to the ability to handle constraints systematically and predict system evolution with models, mo...
Model Predictive Control (MPC) can be used for nonlinear systems if they are working around an opera...
This paper describes an approach to the design of a controller for a system made by dynamically deco...
We present a control scheme combining a Model Predictive Control (MPC) layer and a hierarchically in...
In model predictive control (MPC), also called recedinghorizon control, the control input is obtaine...
This paper describes a hierarchical control scheme for interconnected systems. The higher layer of t...
Model predictive control (MPC) has been used successfully in industry. The basic characteristic of t...
The Non-Centralized Model Predictive Control (NC-MPC) framework in this paper refers to any distribu...
Model predictive control (MPC) is widely recognized as a high performance, yet practical, control te...
The Non-Centralized Model Predictive Control (NC-MPC) framework refers in this paper to any distribu...
Model Predictive Control (MPC) has become widely accepted in industry. The reason for its success ar...
Model predictive control (MPC) is usually implemented as a control strategy where the system outputs...
Model predictive control (MPC) is an enabling technology in many industrial fields. In recent years,...
Model Predictive Control (MPC) usually refers to a class of control algorithms in which a dynamic pr...
Due to the ability to handle constraints systematically and predict system evolution with models, mo...
Model Predictive Control (MPC) can be used for nonlinear systems if they are working around an opera...
This paper describes an approach to the design of a controller for a system made by dynamically deco...
We present a control scheme combining a Model Predictive Control (MPC) layer and a hierarchically in...
In model predictive control (MPC), also called recedinghorizon control, the control input is obtaine...
This paper describes a hierarchical control scheme for interconnected systems. The higher layer of t...
Model predictive control (MPC) has been used successfully in industry. The basic characteristic of t...
The Non-Centralized Model Predictive Control (NC-MPC) framework in this paper refers to any distribu...
Model predictive control (MPC) is widely recognized as a high performance, yet practical, control te...
The Non-Centralized Model Predictive Control (NC-MPC) framework refers in this paper to any distribu...
Model Predictive Control (MPC) has become widely accepted in industry. The reason for its success ar...
Model predictive control (MPC) is usually implemented as a control strategy where the system outputs...
Model predictive control (MPC) is an enabling technology in many industrial fields. In recent years,...
Model Predictive Control (MPC) usually refers to a class of control algorithms in which a dynamic pr...
Due to the ability to handle constraints systematically and predict system evolution with models, mo...
Model Predictive Control (MPC) can be used for nonlinear systems if they are working around an opera...
This paper describes an approach to the design of a controller for a system made by dynamically deco...