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A DISCRETE PREDICTING CONTROLLER
British Journal of Mathematical and Statistical Psychology, 1967This paper describes an attempt to develop a control device which has some of the characteristics of human processing rather than of the lead‐lag formulations of control theory. The controller's sensory limitations, the way in which it internally represents the behaviour of the system under control, and its control strategy, are described.
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Nonlinear Model Predictive Control: Control and Prediction Horizon
IFAC Proceedings Volumes, 2000Abstract In this paper a new class of Model Predictive control algorithms for nonlinear systems is introduced. A prediction horizon longer than the control horizon is used. It is shown that in this way it is possible to enlarge the domain of attraction and to improve the performance without enlarging the dimension of the optimization space.
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CONTROLLING CHAOS BY PREDICTIVE CONTROL
IFAC Proceedings Volumes, 2005Abstract New approach to controlling chaos in discrete-time nonlinear autonomous systems is proposed. We stabilize the desired unstable periodic orbit via small control, based on the prediction of the trajectory. The knowledge of the periodic orbit is not required, just its existence.
B.T. Polyak, V.P. Maslov
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Model Predictive Control Tuning by Controller Matching
IEEE Transactions on Automatic Control, 2010The effectiveness of model predictive control (MPC) in dealing with input and state constraints during transient operations is well known. However, in contrast with several linear control techniques, closed-loop frequency-domain properties such as sensitivities and robustness to small perturbations are usually not taken into account in the MPC design ...
Di Cairano, Stefano, Bemporad, Alberto
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OPTIMAL CONTROL REDESIGN OF GENERALIZED PREDICTIVE CONTROL
IFAC Proceedings Volumes, 1990Abstract Since Generalized Predictive Control (GPC) is a special case of Receding Horizon Linear Quadratic (LQ) Optimal Control, we study the stability and performance properties of LQ optimal controllers with a view to assessing those of GPC. This leads us to suggest some modifications of GPC in order to guarantee closed loop stability and good ...
R.R. Bitmead, M. Gevers, V. Wertz
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Trends in Cognitive Sciences, 2017
The recent study of overt attention during complex scene viewing has emphasized explaining gaze behavior in terms of image properties and image salience independently of the viewer's intentions and understanding of the scene. In this Opinion article, I outline an alternative approach proposing that gaze control in natural scenes can be characterized as
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The recent study of overt attention during complex scene viewing has emphasized explaining gaze behavior in terms of image properties and image salience independently of the viewer's intentions and understanding of the scene. In this Opinion article, I outline an alternative approach proposing that gaze control in natural scenes can be characterized as
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Predictive feedforward control
2016 12th IEEE International Conference on Control and Automation (ICCA), 2016Measurable but controllable disturbances are common in industry, which drive systems away from their references and take time for feedback control to reject them, especially when the systems present input-output delays due to mechanical properties. In this paper, a novel feedforward control based on disturbance prediction is proposed.
Xian Li +4 more
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Robust Model-Predictive Control
2013Model predictive control (MPC) is indisputably one of the rare modern control techniques that has significantly affected control engineering practice due to its unique ability to systematically handle constraints and optimize performance. Robust MPC (RMPC) is an improved form of the conventional MPC that is intrinsically robust in the face of ...
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Generalized Predictive Control
1999This chapter describes one of the most popular predictive control algorithms: Generalized Predictive Control (GPC). The method is developed in detail, showing the general procedure to obtain the control law and its most outstanding characteristics. The original algorithm is extended to include the cases of measurable disturbances and change in the ...
Eduardo F. Camacho, Carlos Bordons
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