A Nonsmooth Nonlinear Programming Based Predictive Control for Mechanical Servo Systems with Backlash-like Hysteresis
Sign Up to like & getrecommendations! Published in 2018 at "Asian Journal of Control"
DOI: 10.1002/asjc.1642
Abstract: In this paper, a multi-step-ahead predictive control approach for dynamic systems with preceded backlash-like hysteresis based on nonsmooth nonlinear programming is proposed. In this approach, a nonsmooth multi-step-ahead predictive model is developed for long-range prediction… read more here.
Keywords: control; backlash like; nonlinear programming; predictive control ... 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
An improved robust model predictive control for linear parameter‐varying input‐output models
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DOI: 10.1002/rnc.3906
Abstract: This paper describes a new robust model predictive control (MPC) scheme to control the discrete-time linear parameter-varying input-output models subject to input and output constraints. Closed-loop asymptotic stability is guaranteed by including a quadratic terminal… read more here.
Keywords: input output; control; linear parameter; predictive control ... 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
Stability analysis on networked control systems under double attacks with predictive control
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DOI: 10.1002/rnc.4840
Abstract: In this paper, stability of a networked control system under denial‐of‐service and false data injection attacks is analyzed with a predictive control method. To model denial‐of‐service attacks on the forward channel of networked control system,… read more here.
Keywords: predictive control; double attacks; control system; networked 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
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
Finite set model predictive control with on-line parameter estimation for active frond-end converters
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DOI: 10.1007/s00202-017-0606-3
Abstract: This paper proposes a finite set model predictive control (FS-MPC) system for active front-end (AFE) converters in combination with an extended Kalman filter (EKF) for on-line parameter estimation to overcome the issues of parameter uncertainty… read more here.
Keywords: model predictive; line; finite set; model ... See more keywords