Abstract
Model predictive control (MPC) has received much attention in the past decades due to its extensive applications in the control of industrial processes such as distillation and fractionation, pulp and paper processing. It works on the principle of receding horizon control, where only the first change in each independent variable u(k|k) is implemented, and the calculation is repeated when the next change is required. This feature makes the MPC approach very appropriate to incorporate the input/output constraints into the on-line optimization as well as to compensate time delays, which increases the possibility of its application in the synthesis and analysis of Networked Control Systems (NCS). In this work, an observer based MPC will be applied to Nonlinear Networked Control Systems (NNCS). Due to space limit, the NNCS problem is formulated first, then only the theory of stability is developed and reported. In the next work, the controller and the observer gains will be established. The results will be tested with simulation.
Original language | English |
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Title of host publication | 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 346-352 |
Number of pages | 7 |
ISBN (Electronic) | 9781538653050 |
DOIs | |
State | Published - 7 Dec 2018 |
Publication series
Name | 2018 15th International Multi-Conference on Systems, Signals and Devices, SSD 2018 |
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Bibliographical note
Publisher Copyright:© 2018 IEEE.
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Control and Optimization
- Instrumentation