Journal
IEEE TRANSACTIONS ON CYBERNETICS
Volume 46, Issue 8, Pages 1760-1770Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2016.2551039
Keywords
Adaptive control; backstepping; networked industrial processes; optimal control; tracking performance
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Funding
- National Natural Science Foundation of China [61333012, 61374031, 61522306]
- State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, China
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In this paper, the performance-based control design problem for double-layer networked industrial processes is investigated. At the device layer, the prescribed performance functions are first given to describe the output tracking performance, and then by using backstepping technique, new adaptive fuzzy controllers are designed to guarantee the tracking performance under the effects of input dead-zone and the constraint of prescribed tracking performance functions. At operation layer, by considering the stochastic disturbance, actual index value, target index value, and index prediction simultaneously, an adaptive inverse optimal controller in discrete-time form is designed to optimize the overall performance and stabilize the overall non-linear system. Finally, a simulation example of continuous stirred tank reactor system is presented to show the effectiveness of the proposed control method.
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