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Lectures on Variational Analysis, 2008 Control design often seeks the best trajectory along which to move a system from its current state to a target state. Most control methods consider only the first step of the full trajectory toward the target state. Model predictive control considers the
Lie, B., Heath, W. P.
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Decentralized Model Predictive Control
2010Decentralized and distributed model predictive control (DMPC) addresses the problem of controlling a multivariable dynamical process, composed by several interacting subsystems and subject to constraints, in a computation and communication efficient way.
Bemporad, Alberto, Barcelli, Davide
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Guidelines for the Design of Finite Control Set Model Predictive Controllers
IEEE transactions on power electronics, 2020Direct model predictive control (MPC) with reference tracking, also referred to as finite control set MPC (FCS-MPC), has gained significant attention in recent years, mainly from the academic community.
P. Karamanakos, T. Geyer
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2021
This chapter introduces the basic concepts of Model Predictive Control (MPC) theory necessary to design the controller in later chapters. With a focus on MPC for linear systems, the design of controllers with different objective functions is covered, and some key methods such as reference tracking are presented while elaborating on implementation ...
Afonso Botelho +3 more
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This chapter introduces the basic concepts of Model Predictive Control (MPC) theory necessary to design the controller in later chapters. With a focus on MPC for linear systems, the design of controllers with different objective functions is covered, and some key methods such as reference tracking are presented while elaborating on implementation ...
Afonso Botelho +3 more
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Event-Triggered Model Predictive Control for Power Converters
IEEE transactions on industrial electronics (1982. Print), 2021In this letter, an event-triggered model predictive control (ET-MPC) method for power converters is presented. In the proposed method, the model predictive control (MPC) scheme is triggered only when the state of the converter exceeds a preset threshold;
Benfei Wang +6 more
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Embedded Model Predictive Control With Certified Real-Time Optimization for Synchronous Motors
IEEE Transactions on Control Systems Technology, 2021Model predictive control (MPC) is a very attractive candidate to replace standard field-oriented control algorithms for electrical motors. We demonstrate that it is possible to implement an MPC algorithm for continuous control set (CCS-MPC), with both ...
Gionata Cimini +3 more
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Resilient Model Predictive Control of Cyber–Physical Systems Under DoS Attacks
IEEE Transactions on Industrial Informatics, 2020This article presents a resilient model predictive control (MPC) framework to attenuate adverse effects of denial-of-service (DoS) attacks for cyber–physical systems (CPSs), where the system dynamics is modeled by a linear time-invariant system.
Qi Sun, Kunwu Zhang, Yang Shi
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Hierarchical Model Predictive Control of Wiener Models
2009A hierarchical two-layer control structure is designed with robust Model Predictive Control. The system at the upper level is described by a Wiener model, while the systems at the lower level, which represent the fast actuators dynamics, are described by general nonlinear models.
PICASSO, BRUNO +2 more
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2000
Chapter 4 showed that the controllability of sheet and film processes can be quantified in terms of the accuracy of the signs of the process gains. It was also shown that constraint handling is unnecessary for many sheet and film processes, provided that the controller is designed to be robust to model uncertainties.
Andrew P. Featherstone +2 more
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Chapter 4 showed that the controllability of sheet and film processes can be quantified in terms of the accuracy of the signs of the process gains. It was also shown that constraint handling is unnecessary for many sheet and film processes, provided that the controller is designed to be robust to model uncertainties.
Andrew P. Featherstone +2 more
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IEEE transactions on industrial electronics (1982. Print), 2018
This paper studies the trajectory tracking control problem of an autonomous underwater vehicle (AUV). We develop a novel Lyapunov-based model predictive control (LMPC) framework for the AUV to utilize computational resource (online optimization) to ...
Chao Shen, Yang Shi, B. Buckham
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This paper studies the trajectory tracking control problem of an autonomous underwater vehicle (AUV). We develop a novel Lyapunov-based model predictive control (LMPC) framework for the AUV to utilize computational resource (online optimization) to ...
Chao Shen, Yang Shi, B. Buckham
semanticscholar +1 more source