We consider the problem of designing decentralized controllers for large-scale linear constrained systems composed by a number of interacting subsystems. As in (Riverso et al., 2013) (i) the design of local controllers requires limited transmission of information from other subsystems and (ii) the addition/removal of a subsystem triggers the design of local controllers for child subsystems only. These properties enable Plug-and-Play (PnP) operations, and we show how to perform them while preserving global stability of the origin and constraint satisfaction. We improve several aspects of the PnP design procedure proposed in (Riverso et al., 2013) and, using recent results in the computation of Robust Control Invariant (RCI) sets, we show tha...
This paper presents a method for plug-and-play distributed MPC of a network of interacting linear sy...
We take a divide and conquer approach to design controllers for reachability problems given large-sc...
In this paper we propose a novel distributed state estimator for large-scale linear systems composed...
We consider the problem of designing decentralized controllers for large-scale linear constrained sy...
We consider the problem of designing decentralized controllers for large-scale linear constrained sy...
In this paper we consider a linear system represented by subsystems coupled through states and propo...
In this paper we consider a linear system structured into physically coupled subsystems and propose ...
In this paper we consider a linear system structured into physically coupled subsystems and propose ...
In this paper we consider a linear system structured into physically coupled subsystems and propose ...
In this paper we consider a linear system structured into physically coupled subsystems and propose ...
We consider the control of a large-scale system composed of state-coupled linear subsystems that can...
This paper considers the problem of event-triggered decentralized model predictive control (MPC) for...
Abstract — In this work, synthesis and closed-loop operation of robust distributed model predictive ...
This paper is concerned with the design of stabilizing model predictive control (MPC) laws for const...
This paper presents a method for plug-and-play distributed MPC of a network of interacting linear sy...
We take a divide and conquer approach to design controllers for reachability problems given large-sc...
In this paper we propose a novel distributed state estimator for large-scale linear systems composed...
We consider the problem of designing decentralized controllers for large-scale linear constrained sy...
We consider the problem of designing decentralized controllers for large-scale linear constrained sy...
In this paper we consider a linear system represented by subsystems coupled through states and propo...
In this paper we consider a linear system structured into physically coupled subsystems and propose ...
In this paper we consider a linear system structured into physically coupled subsystems and propose ...
In this paper we consider a linear system structured into physically coupled subsystems and propose ...
In this paper we consider a linear system structured into physically coupled subsystems and propose ...
We consider the control of a large-scale system composed of state-coupled linear subsystems that can...
This paper considers the problem of event-triggered decentralized model predictive control (MPC) for...
Abstract — In this work, synthesis and closed-loop operation of robust distributed model predictive ...
This paper is concerned with the design of stabilizing model predictive control (MPC) laws for const...
This paper presents a method for plug-and-play distributed MPC of a network of interacting linear sy...
We take a divide and conquer approach to design controllers for reachability problems given large-sc...
In this paper we propose a novel distributed state estimator for large-scale linear systems composed...