PaperContinuous-time generalized predictive control (CGPC)☆
References (24)
- et al.
A self-tuning multistep predictor application
Automatica
(1981) - et al.
A comparative study of self-adaptive long-range predictive control methods
Automatica
(1988) Predictor-based self-tuning control
Automatica
(1984)- et al.
Model predictive heuristic control: applications to industrial processes
Automatica
(1978) - et al.
An adaptive control algorithm for linear systems having unknown time delay
Automatica
(1988) Identification and adaptive control of retarded systems—A continuous-time approach
- et al.
Self-tuning controller
- et al.
Self-tuning control
Generalised Predictive Control. Part 1: the basic algorithm and Part 2: extensions and interpretations
Automatica
Long-range predictive control using weighting-sequence models
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Explicit spline-based continuous-time MPC: A study on design and performance
2020, IFAC-PapersOnLineStabilization of artificial gas-lift process using nonlinear predictive generalized minimum variance control
2019, Journal of the Franklin InstituteApplication of multiobjective neural predictive control to biventricular assistance using dual rotary blood pumps
2018, Biomedical Signal Processing and ControlEfficient constrained model predictive control
2014, European Journal of ControlCitation Excerpt :In [28], MPC was applied to unmanned mobile vehicles, where an additional, variable prediction horizon was combined into a single optimization process, with the variable prediction points automatically distributed by the optimization process to effectively capture the environment. One drawback of using prediction points that are not at the base time step of the system is that discretization issues may occur, particularly over longer time periods, with [9,8] using continuous time models to improve on this subject. Our paper is based on a comparable method to move blocking named Algebraic Model Predictive Control (AMPC) [19], where the typical MPC problem is formulated with variable prediction time intervals, retaining prediction accuracy by using the state transition function evaluated algebraically with the eigenvalue/eigenvector characteristics of the system, thus avoiding inaccuracies due to discrete approximations.
Robustness analysis and tuning of generalized predictive control using frequency domain approaches
2012, Applied Mathematical ModellingCitation Excerpt :Garriga et al. [15] have studied the effects of tuning parameters on the locations of closed-loop eigenvalues. Some texts are considered Continuous-time GPC (CGPC), e.g., Demircioglu and Gawthrop [16], as a more robust scheme compared to the alternative Discrete-time GPC (DGPC), but the heuristic tuning problem still remained [17]. Demircioglu and Karasu [18] have performed a practical comparative study between CGPC and DGPC and sustained the positive effect of suitable choice T filter in closed loop robustness.
A runge-kutta model based adaptive predictive controller for nonlinear systems
2012, IFAC Proceedings Volumes (IFAC-PapersOnline)
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The original version of this paper was presented at the IFAC Symposium on Adaptive Systems in Control and Signal Processing which was held in Glasgow, Scotland, U.K. during April 1989. The published Proceedings of this IFAC Meeting may be ordered from: Pergamon Press plc, Headington Hill Hall, Oxford OX3 0BW, U.K. This paper was recommended for publication in revised form by Associate Editor D. W. Clarke under the direction of Editor P. C. Parks.