A tube-based distributed model predictive control (DMPC) scheme is proposed for dynamically coupled linear systems. The control scheme is designed to guarantee local performance even when neighboring controllers are not complying with the requirements of the algorithm (e.g., they are malicious or faulty). The resulting conservativeness is minimized, for controllers aim to minimize their state and input constraint sets to reduce mutual disturbances. Also, sufficient conditions for feasibility and exponential stability are given. Finally, these ideas are illustrated and assessed with respect to other robust DMPC via a simulated example
Distributed model predictive control refers to a class of predictive control architectures in which ...
Information sharing among local controllers is the key feature of any Distributed Model Predictive C...
This article presents a distributed implementation of a model predictive controller with information...
A tube-based distributed model predictive control (DMPC) scheme is proposed for dynamically coupled ...
This article presents a new form of robust distributed model predictive control (MPC) for multiple d...
In this paper, a distributed model predictive control scheme is proposed for linear, time-invariant ...
The Distributed Predictive Control (DPC) algorithm presented in this chapter has been designed for c...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
A non-iterative, non-cooperative distributed state-feedback control algorithm based on neighbor-tone...
While distributed algorithms provide advantages for the control of complex large-scale systems by re...
Abstract — In this work, synthesis and closed-loop operation of robust distributed model predictive ...
This paper studies a fundamental relation that exists between stabilizability assumptions usually em...
Large-scale Systems are gaining more importance in the modern world requiring flexible techniques ca...
In this thesis, a tube-based Distributed Economic Predictive Control (DEPC) scheme is presented for ...
Distributed model predictive control refers to a class of predictive control architectures in which ...
Information sharing among local controllers is the key feature of any Distributed Model Predictive C...
This article presents a distributed implementation of a model predictive controller with information...
A tube-based distributed model predictive control (DMPC) scheme is proposed for dynamically coupled ...
This article presents a new form of robust distributed model predictive control (MPC) for multiple d...
In this paper, a distributed model predictive control scheme is proposed for linear, time-invariant ...
The Distributed Predictive Control (DPC) algorithm presented in this chapter has been designed for c...
© 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
A non-iterative, non-cooperative distributed state-feedback control algorithm based on neighbor-tone...
While distributed algorithms provide advantages for the control of complex large-scale systems by re...
Abstract — In this work, synthesis and closed-loop operation of robust distributed model predictive ...
This paper studies a fundamental relation that exists between stabilizability assumptions usually em...
Large-scale Systems are gaining more importance in the modern world requiring flexible techniques ca...
In this thesis, a tube-based Distributed Economic Predictive Control (DEPC) scheme is presented for ...
Distributed model predictive control refers to a class of predictive control architectures in which ...
Information sharing among local controllers is the key feature of any Distributed Model Predictive C...
This article presents a distributed implementation of a model predictive controller with information...