Tracking control and parameter identification with quantized ARMAX systems
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
http://link.springer.com/content/pdf/10.1007/s11432-018-9677-9.pdf
Reference9 articles.
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2. Liu T F, Jiang Z P. Further results on quantized stabilization of nonlinear cascaded systems with dynamic uncertainties. Sci China Inf Sci, 2016, 59: 072202
3. Zheng C, Li L, Wang L Y, et al. How much information is needed in quantized nonlinear control? Sci China Inf Sci, 2018, 61: 092205
4. Wang L Y, Zhang J F, Yin G G. System identification using binary sensors. IEEE Trans Autom Control, 2003, 48: 1892–1907
5. Guo J, Zhang J F, Zhao Y L. Adaptive tracking control of a class of first-order systems with binary-valued observations and time-varying thresholds. IEEE Trans Autom Control, 2011, 56: 2991–2996
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