On the pseudo-linearization problem for nonlinear systems
Systems & Control Letters
Nonlinear control via uniform system approximation
Systems & Control Letters
Nonlinear control design for slightly non-minimum phase systems: application to V/STOL aircraft
Automatica (Journal of IFAC)
Approximate linearization of nonlinear control systems
Systems & Control Letters
Approximate Feedback Linearization: A Homotopy Operator Approach
SIAM Journal on Control and Optimization
Systems & Control Letters
Discrete variable-structure integral controllers
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Brief Paper: On Approximate Model-Reference Control of SISO Discrete-Time Nonlinear Systems
Automatica (Journal of IFAC)
IEEE Transactions on Neural Networks
Neural network application for direct feedback controllers
IEEE Transactions on Neural Networks
A feedback linearization technique by using neural networks: application to bioprocess control
ICCMSE '03 Proceedings of the international conference on Computational methods in sciences and engineering
A feedback linearization technique by using neural networks: Application to bioprocess control
Journal of Computational Methods in Sciences and Engineering
Asymptotic Stabilization of Feedback Linearizable Systems via Estimated Diffeomorphism
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
On approximate dynamic inversion and proportional-integral control
ACC'09 Proceedings of the 2009 conference on American Control Conference
CONTROL'10 Proceedings of the 6th WSEAS international conference on Dynamical systems and control
Synthesis of an approximate feedback nonlinear control based on optimization methods
WSEAS Transactions on Systems and Control
Brief Virtual reference feedback tuning: a direct method for the design of feedback controllers
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Technical Communique: Input-output pseudolinearization on controlled invariant submanifolds
Automatica (Journal of IFAC)
| Hi-index | 22.15 |
Fostered by a growing interest in nonlinear control theory and catalyzed by the discovery in the early 1980s of the exact conditions under which a nonlinear plant can be linearized by static-state feedback and coordinate transformation, in the last decades there has been a rapid increase of interest in the search for approximate solutions to the problem of linearizing nonlinear systems by state or output feedback. Main reason for that is the limited applicability of the rigorous methods, and the complexity, sensitivity and design difficulties of the exact linearizing compensators, if any. In the present paper, the literature on the subject is reviewed and organized in what is believed to be a new and consistent perspective. Recent works, especially in the area of data-based techniques, are in fact described and related, whenever possible, to fundamental results previously obtained by model-based differential geometric methods; this is expected to bring modern system linearization methods closer to the needs of practicing control engineers and to stimulate further research eventually able to fill visible gaps in this direction.