Model predictive zone control with soft constrained appending margin
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DOI: 10.1002/asjc.2413
Abstract: In industrial processes, zone control is often applied to some control systems that do not have set‐point control requirements. Zone control involves constraining controlled variables within a range of feasible solutions, so there is a… read more here.
Keywords: model predictive; zone control; margin; control ... See more keywords
Robust nonlinear model predictive control for automatic train operation based on constraint tightening strategy
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DOI: 10.1002/asjc.2419
Abstract: This paper studies the problem of automatic train operation (ATO) robust nonlinear model predictive control under considering multiple objectives and constraints. After establishing a nonlinear multipoint model with uncertain bounded disturbance, a robust nonlinear model… read more here.
Keywords: model predictive; nonlinear model; model; train operation ... See more keywords
Distributed nonlinear model predictive control based on contraction theory
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DOI: 10.1002/rnc.3881
Abstract: A novel distributed model predictive control algorithm for continuous-time nonlinear systems is proposed in this paper. Contraction theory is used to estimate the prediction error in the algorithm, ... read more here.
Keywords: model predictive; control; predictive control; contraction theory ... See more keywords
Stabilizing conditions for model predictive control
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DOI: 10.1002/rnc.4409
Abstract: Existing stabilizing conditions that employ a terminal cost and constraint that, if satisfied, ensure stability and recursive feasibility for deterministic, robust and stochastic model predictive control are briefly reviewed and analysed. It is pointed out… read more here.
Keywords: model predictive; control stabilizing; stabilizing conditions; control ... See more keywords
A robust constrained model predictive control scheme for norm‐bounded uncertain systems with partial state measurements
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DOI: 10.1002/rnc.4721
Abstract: A robust model predictive control scheme for a class of constrained norm‐bounded uncertain discrete‐time linear systems is developed under the hypothesis that only partial state measurements are available for feedback. The proposed strategy involves a… read more here.
Keywords: norm bounded; bounded uncertain; model predictive; predictive control ... See more keywords
A robust least squares based approach to min‐max model predictive control
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DOI: 10.1002/rnc.5011
Abstract: This article deals with the model predictive control (MPC) of linear, time‐invariant discrete‐time polytopic (LTIDP) systems. The 2‐fold aim is to simplify the treatment of complex issues like stability and feasibility analysis of MPC in… read more here.
Keywords: model predictive; predictive control; least squares; approach ... See more keywords
A robust adaptive model predictive control framework for nonlinear uncertain systems
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DOI: 10.1002/rnc.5147
Abstract: In this article, we present a tube‐based framework for robust adaptive model predictive control (RAMPC) for nonlinear systems subject to parametric uncertainty and additive disturbances. Set‐membership estimation is used to provide accurate bounds on the… read more here.
Keywords: model predictive; framework; adaptive model; robust adaptive ... See more keywords
Robust model predictive control for nonlinear parameter varying systems without computational delay
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DOI: 10.1002/rnc.5235
Abstract: This article proposes a one‐step ahead robust model predictive control (MPC) for discrete‐time Lipschitz nonlinear parameter varying (NLPV) systems subject to disturbances. Within the proposed design framework, the optimization that generates the MPC policy to… read more here.
Keywords: model predictive; predictive control; robust model; parameter varying ... See more keywords
Nonlinear learning‐based model predictive control supporting state and input dependent model uncertainty estimates
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DOI: 10.1002/rnc.5688
Abstract: While model predictive control (MPC) methods have proven their efficacy when applied to systems with safety specifications and physical limitations, their performance heavily relies on an accurate prediction model. As a consequence, a significant effort… read more here.
Keywords: model predictive; predictive control; model; nonlinear learning ... See more keywords
Editorial to the special issue “Adaptive and learning‐based model predictive control”
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DOI: 10.1002/rnc.5813
Abstract: Model predictive control is a very successful modern control technology, which consists of repeatedly solving a finite horizon optimal control problem and then applying the first part of the solution to the considered system. The… read more here.
Keywords: model predictive; predictive control; special issue; satisfaction ... See more keywords
Visual model‐predictive localization for computationally efficient autonomous racing of a 72‐g drone
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DOI: 10.1002/rob.21956
Abstract: Drone racing is becoming a popular e‐sport all over the world, and beating the best human drone race pilots has quickly become a new major challenge for artificial intelligence and robotics. In this paper, we… read more here.
Keywords: drone; autonomous racing; model predictive; visual model ... See more keywords