Abstract
Chapter 4 develops the idea of intermittent feedback in the context of MB-NCS. The general idea using the intermittent feedback approach is to operate a control system in open-loop mode for as long as possible in order to reduce the use of resources (communication resources when applied to NCS) and to change the mode of operation to closed-loop mode in order to recover some desired performance by applying a continuous feedback control action. The main difference is that the update strategy in previous chapters uses instantaneous feedback, that is, a single set of measurements is sent from the sensor node to the controller node once every h time units. In contrast, the intermittent approach establishes a closed-loop operation mode in which multiple measurements are transmitted starting at every h time units.
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References
C. S. Carver, M. F. Scheier, On the self-regulation of behavior. (Cambridge University Press, 1998)
T. Estrada, Model-based Networked Control Systems with intermittent feedback, Ph. D. Dissertation, University of Notre Dame, Notre Dame, IN, 2009
T. Estrada, H. Lin, P. J. Antsaklis, Model based control with intermittent feedback, in Proceedings of the 14th Mediterranean Conference on Control and Automation, 2006, pp. 1–6
T. Estrada, P. J. Antsaklis, Stability of model-based networked control systems with intermittent feedback, in Proceedings of the 17th IFAC World Congress, 2008
E. Garcia, P. J. Antsaklis, Model-based control using a lifting approach, in Proceedings of the 18th Mediterranean Conference on Control and Automation, 2010, pp. 105–110.
E. Garcia, P. J. Antsaklis, Model-based control of continuous-time systems with limited intermittent feedback, in Proceedings of the 21st Mediterranean Conference on Control and Automation, 2013, pp. 452–457
P. J. Gawthrop, L. Wang Intermittent model predictive control, Proceedings of the Institution of Mechanical Engineers, Pt. I, Journal of Systems and Control Engineering, 2007
M. Kim, Controlling chemical turbulence by global delayed feedback: Pattern formation in catalytic co oxidation on pt(110). Science 292(5520), 1357–1360 (2001)
K. Koay, G. Bugmann, Compensating intermittent delayed visual feedback inrobot navigation, Proceedings of the IEEE Conference on Decision and Control Including The Symposium on Adaptive Processes, 2004
N. Leonard, P. Krishnaprasad, Averaging for attitude control and motion planning, in Proceedings of the 32nd IEEE Conference on Decision and Control, 1993, pp. 3098–3104
M.J. Mataric, Reinforcement learning in the multi-robot domain. Auton. Robot. 4, 77–83 (1997)
D. Oldroyd, L. Goldblatt, Effect of uniform versus intermittent product withdrawal from distillation columns, Industrial and Engineering Chemistry, 12, (1946)
T. L. Richard A. Schmidt, Motor Control and Learning: A Behavioral Emphasis. 4th ed., (Human Kinetics, 2005)
E. Ronco, T. Arsan, P. J. Gawthrop, Open-loop intermittent feedback control: practical continuous-time GPC, IEE Proceedings-Control Theory and Applications, 1999
E. Ronco, D. J. Hill, Open-loop intermittent feedback optimal predictive control: a human movement control model, NIPS99, 1999
R.S.R. Ronsse, P. Lefevre, Sensorless stabilization of bounce juggling. IEEE T. Robotic. 2(1), 147–159 (2006)
B.H. Salzberg, A.J. Wheeler, L.T. Devar, B.L. Hopkins, The effect of intermittent feedback and intermittent contingent access to play on printing of kindergarten children. J. Appl. Behav. Anal. 4(3), 163–171 (1971)
B. Skinner, About behaviorism. Vintage, 1st ed., 1974
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Garcia, E., Antsaklis, P.J., Montestruque, L.A. (2014). Model-Based Control Systems with Intermittent Feedback. In: Model-Based Control of Networked Systems. Systems & Control: Foundations & Applications. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-07803-8_4
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DOI: https://doi.org/10.1007/978-3-319-07803-8_4
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