Paper
13 October 2008 Identification-free adaptive optimal control based on switching predictive models
Wenguang Luo, Shenghui Pan, Zhaomin Ma, Hongli Lan
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Abstract
An identification-free adaptive optimal control based on switching predictive models is proposed for the systems with big inertia, long time delay and multi models. Multi predictive models are set in the identification-free adaptive predictive control, and switched according to the optimal switching instants in control of the switching law along with the system running situations in real time. The switching law is designed based on the most important character parameter of the systems, and the optimal switching instants are computed out with the optimal theory for switched systems. The simulation test results show the proposed method is suitable to the systems, such as superheated steam temperature systems of electric power plants, can provide excellent control performance, improve rejecting disturbance ability and self-adaptability, and has lower demand on the predictive model precision.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Wenguang Luo, Shenghui Pan, Zhaomin Ma, and Hongli Lan "Identification-free adaptive optimal control based on switching predictive models", Proc. SPIE 7129, Seventh International Symposium on Instrumentation and Control Technology: Optoelectronic Technology and Instruments, Control Theory and Automation, and Space Exploration, 71291J (13 October 2008); https://doi.org/10.1117/12.807494
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Cited by 1 scholarly publication.
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KEYWORDS
Switching

Control systems

Systems modeling

Adaptive control

Computing systems

Performance modeling

Mathematical modeling

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