Distributed model predictive control for continuous-time nonlinear systems based on suboptimal ADMM
نویسندگان
چکیده
منابع مشابه
Stabilizing model predictive control of nonlinear continuous time systems
This paper surveys some of the main design strategies of nonlinear model predictive control (MPC). The system under control, the performance index to be minimized and the state and control constraints to be fulfilled are defined in the continuous time. The considered algorithms are analyzed and compared in terms of stability, performance and implementation issues. In particular, it is shown tha...
متن کاملModel Predictive Control for Nonlinear Continuous-Time Systems with and without Time-Delays
Model predictive control (MPC) is a modern control method based on the repeated online solution of a finite horizon optimal control problem. It is particularly attractive due to its ability to take hard constraints and performance criteria directly into account. The objective of this thesis is the development of novel MPC schemes for nonlinear continuoustime systems with and without time-delays...
متن کاملDissipativity-based Distributed Nonlinear Predictive Control for Cascaded Systems
Developing centralized controllers for large-scale systems, e.g. complex chemical processes, electrical power networks, is an important, yet challenging problem. Typically, it would be of advantage if one could divide the problem into smaller parts (or subproblems), and to opt for a decentralized or distributed alternative. On the other hand, due to physical interconnections between subsystems,...
متن کاملRobust Model Predictive Control for a Class of Discrete Nonlinear systems
This paper presents a robust model predictive control scheme for a class of discrete-time nonlinear systems subject to state and input constraints. Each subsystem is composed of a nominal LTI part and an additive uncertain non-linear time-varying function which satisfies a quadratic constraint. Using the dual-mode MPC stability theory, a sufficient condition is constructed for synthesizing the ...
متن کاملRobust model predictive control for nonlinear discrete-time systems
This paper describes a model predictive control (MPC) algorithm for the solution of a state-feedback robust control problem for discrete-time nonlinear systems. The control law is obtained through the solution of a finite-horizon dynamic game and guarantees robust stability in the face of a class of bounded disturbances and/or parameter uncertainties. A simulation example is reported to show th...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Optimal Control Applications and Methods
سال: 2018
ISSN: 0143-2087
DOI: 10.1002/oca.2459