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Stable adaptive neurocontrol for nonlinear discrete-time systems (2004)
Journal Article
Zhu, Q., & Guo, L. (2004). Stable adaptive neurocontrol for nonlinear discrete-time systems. IEEE Transactions on Neural Networks, 15(3), 653-662. https://doi.org/10.1109/TNN.2004.826131

This paper presents a novel approach in designing neural network based adaptive controllers for a class of nonlinear discrete-time systems. This type of controllers has its simplicity in parallelism to linear generalized minimum variance (GMV) contro... Read More about Stable adaptive neurocontrol for nonlinear discrete-time systems.

A fast convergent extended Kalman observer for nonlinear discrete-time systems (2002)
Journal Article
Guo, L. Z., & Zhu, Q. (2002). A fast convergent extended Kalman observer for nonlinear discrete-time systems. International Journal of Systems Science, 33(13), 1051-1058. https://doi.org/10.1080/0020772021000046225

A new extended Kalman observer for nonlinear discrete-time systems is derived. As always, stability and convergence rate depend directly on the matrices Qk and Rk and the initial state estimation error, the new observer has made improvement on these... Read More about A fast convergent extended Kalman observer for nonlinear discrete-time systems.

A pole placement controller for nonlinear dynamic plants (2002)
Journal Article
Zhu, Q., & Guo, L. Z. (2002). A pole placement controller for nonlinear dynamic plants. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, 216(6), 467-476. https://doi.org/10.1177/095965180221600603

In this study a control-oriented model is proposed to represent a wide range of non-linear discrete-time dynamic plants. As a testimony to the efficiency of the model structure for control system design, a pole placement controller is designed for no... Read More about A pole placement controller for nonlinear dynamic plants.