Decentralized scenario-based plug and play MPC for linear systems with multiplicative uncertainties
نویسندگان
چکیده
This paper proposes a novel approach to decentralized control with Plug and Play capabilities. Plug and Play allows a flexible addition and removal of subsystems to an existing plant. The proposed approach guarantees stability and robustness to a certain degree for systems with additive disturbances and multiplicative uncertainties. For the controller design, the plant is decomposed into subsystems. The algorithms for adding and removing subsystems are given. By applying the basic idea of scenario-based methods, the proposed approach is less conservative and can handle complex multiplicative uncertainties.
منابع مشابه
Distributed Stochastic Model Predictive Control Synthesis for Large-Scale Uncertain Linear Systems
This paper presents an approach to distributed stochastic model predictive control (SMPC) of large-scale linear systems with additive disturbances and multiplicative uncertainties in a plug-and-play (PnP) framework. Typical SMPC approaches for such problems involve formulating a large-scale finite-horizon chance-constrained optimization problem at each sampling time, which is in general non-con...
متن کاملPlug-and-Play Robust Voltage Control of DC Microgrids
The purpose of this paper is to explore the applicability of linear time-invariant (LTI) dynamical systems with polytopic uncertainty for modeling and control of islanded DC microgrids under plug-and-play (PnP) functionality of distributed generations (DGs). We develop a robust decentralized voltage control framework to ensure robust stability and reliable operation for islanded DC microgrids. ...
متن کاملA Linear Matrix Inequality (LMI) Approach to Robust Model Predictive Control (RMPC) Design in Nonlinear Uncertain Systems Subjected to Control Input Constraint
In this paper, a robust model predictive control (MPC) algorithm is addressed for nonlinear uncertain systems in presence of the control input constraint. For achieving this goal, firstly, the additive and polytopic uncertainties are formulated in the nonlinear uncertain systems. Then, the control policy can be demonstrated as a state feedback control law in order to minimize a given cost funct...
متن کاملAdaptive Observer-Based Decentralized Scheme for Robust Nonlinear Power Flow Control Using HPFC
This paper investigates the robust decentralized nonlinear control of power flow in a power system using a new configuration of UPFC. This structure comprises two shunt converters and one series capacitor called as hybrid power flow controller (HPFC). A controller is designed via control Lyapunov function (CLF) and adaptive observer to surmount the problems of stability such as tracking desired...
متن کاملA robust multi-objective global supplier selection model under currency fluctuation and price discount
Robust supplier selection problem, in a scenario-based approach has been proposed, when the demand and exchange rates are subject to uncertainties. First, a deterministic multi-objective mixed integer linear programming is developed; then, the robust counterpart of the proposed mixed integer linear programming is presented using the recent extension in robust optimization theory. We discuss dec...
متن کامل