Distributed model predictive control: An overview and roadmap of future research opportunities
RR Negenborn, JM Maestre - IEEE Control Systems Magazine, 2014 - ieeexplore.ieee.org
Model-predictive control (MPC) is an optimization-based control technique that uses 1) a
mathematical model of a system to predict the system's behavior over a given horizon, 2) an …
mathematical model of a system to predict the system's behavior over a given horizon, 2) an …
Sustainability and process control: A survey and perspective
P Daoutidis, M Zachar, SS Jogwar - Journal of Process Control, 2016 - Elsevier
Sustainability has been defined as the concept of meeting the needs of the present without
compromising the ability of future generations to meet their own needs [1]. Other definitions …
compromising the ability of future generations to meet their own needs [1]. Other definitions …
Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control
Real traffic data and simulation analysis reveal that for some urban networks a well-defined
Macroscopic Fundamental Diagram (MFD) exists, which provides a unimodal and low …
Macroscopic Fundamental Diagram (MFD) exists, which provides a unimodal and low …
Hierarchical distributed model predictive control based on fuzzy negotiation
This work presents a hierarchical distributed model predictive control approach for multiple
agents with cooperative negotiations based on fuzzy inference. Specifically, a fuzzy-based …
agents with cooperative negotiations based on fuzzy inference. Specifically, a fuzzy-based …
On 35 approaches for distributed MPC made easy
RR Negenborn, JM Maestre - Distributed model predictive control made …, 2013 - Springer
In this chapter the motivation for develo** a comprehensive overview of distributed MPC
techniques such as presented in this book is discussed. Understanding the wide range of …
techniques such as presented in this book is discussed. Understanding the wide range of …
Large-scale dynamic system optimization using dual decomposition method with approximate dynamic programming
In this paper, multi-agent dynamic optimization with a coupling constraint is studied. The aim
is to minimize a strongly convex social cost function, by considering a linear stochastic …
is to minimize a strongly convex social cost function, by considering a linear stochastic …
Fixed-point based hierarchical MPC control design for a cryogenic refrigerator
In this paper, a simple, general and scalable hierarchical control framework is proposed and
validated through the interconnection of the Joule–Thomson and the Brayton cycle stages of …
validated through the interconnection of the Joule–Thomson and the Brayton cycle stages of …
Revisiting a fixed-point hierarchical control design for cryogenic refrigerators under constraints, nonlinearities and real-time considerations
This paper presents an extension of a recently proposed hierarchical control framework
applied to linearization-based unconstrained control of a cryogenic refrigerator. The …
applied to linearization-based unconstrained control of a cryogenic refrigerator. The …
On the stabilization of fixed-point iterations arising in hierarchical control design
Fixed-point iterations are commonly used to break the algebraic loops involved in the
distributed optimization among computational entities sharing only a partial knowledge …
distributed optimization among computational entities sharing only a partial knowledge …
Towards Real-Time Distributed Planning in Multi-Robot Systems
M Abdelkader - 2018 - repository.kaust.edu.sa
Recently, there has been an increasing interest in robotics related to multi-robot
applications. Such systems can be involved in several tasks such as collaborative search …
applications. Such systems can be involved in several tasks such as collaborative search …