Disturbance-Observer-Based Control for Multivariable Systems Based on Equivalent Transfer Function
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications,Energy Engineering and Power Technology,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s40313-022-00931-0.pdf
Reference19 articles.
1. Bristol, E. (1966). On a new measure of interaction for multivariable process control. IEEE Transactions on Automatic Control, 11(1), 133–134.
2. Cai, W. J., Ni, W., He, M. J., & Ni, C. Y. (2008). Normalized decoupling - a new approach for MIMO process control system design. Industrial & Engineering Chemistry Research, 47(19), 7347–7356.
3. Chen, W., H, Yang, J., Guo, L., & Li, S. (2015). Disturbance-observer-based control and related methods - an overview. IEEE Transactions on Industrial Electronics, 63(2), 1083–1095.
4. Chen, X., & Tomizuka, M. (2014). Optimal decoupled disturbance observers for dual-input single-output systems. Journal of Dynamic Systems, Measurement, and Control, 136(5), 5.
5. Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multiobjective genetic algorithm: NSGA-II. IEEE transactions on evolutionary computation, 6(2), 182–197.
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